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Top 6 Humanoid Robots in 2024

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Introduction

Let’s explore top 6 humonaid robots of 2024!

What is a Humanoid?

Also Read: Top 15 AI Robots of 21st Century

How are Humanoids Being Used Today?

Here are some critical applications where humanoids can help enhance efficiency, safety, and user experience:

  • Customer Service and Hospitality: They are
  • Healthcare and Assistance: 
  • Manufacturing and Logistics: 
  • Security and Surveillance: 

Top Humanoid Robots in 2024

1. Sophia

2. Atlas

Top 6 Humanoid Robots in 2024

3. Asimo

4. Pepper

Top 6 Humanoid Robots in 2024

5. Nao

6. Nadine

Top 6 Humanoid Robots in 2024

Conclusion

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Yana Khare

A 23-year-old, pursuing her Master’s in English, an avid reader, and a melophile. My all-time favorite quote is by Albus Dumbledore – “Happiness can be found even in the darkest of times if one remembers to turn on the light.”

Google Gemini

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Google Rolls Out Gemini AI-Powered Vids App for Video Presentations

What is Vids?

Google is rolling out its Gemini AI-powered Vids app, which allows users to create video presentations using a prompt. The app is designed to make video creation easier and faster, with features such as auto-inserting stock footage, generating scripts, and making AI voiceovers.

Key Features of Vids

  • Auto-insert stock footage for users
  • Generates a script for the video
  • Makes AI voiceovers, eliminating the need for human voiceovers
  • Supports multiple languages
  • Allows users to drop in relevant documents, slides, voiceovers, and video recordings into the app’s timeline
  • Generates a presentation video for coworkers

How to Use Vids

Users can start by dropping in relevant documents, slides, voiceovers, and video recordings into the app’s timeline. The app will then generate a presentation video for their coworkers.

Availability and Limitations

Vids will be available by default for Workspace organizations with access. However, Google notes that possible usage limits may apply to features like "Help me create" and AI voiceovers starting in 2026.

Timeline and Availability

The Vids rollout period began on November 7th, and it could take more than 15 days for it to appear for some users.

Conclusion

Google’s Vids app is a powerful tool for creating video presentations quickly and easily. With its AI-powered features, users can create professional-looking videos without needing extensive video production experience. Whether you’re creating customer support articles, training videos, or company announcements, Vids is a great tool to have in your toolkit.

Frequently Asked Questions

Q: What is Vids?
A: Vids is a Gemini AI-powered app that allows users to create video presentations using a prompt.

Q: What are the key features of Vids?
A: The key features of Vids include auto-inserting stock footage, generating scripts, making AI voiceovers, and supporting multiple languages.

Q: How do I use Vids?
A: Users can start by dropping in relevant documents, slides, voiceovers, and video recordings into the app’s timeline. The app will then generate a presentation video for their coworkers.

Q: Is Vids available for all users?
A: Vids will be available by default for Workspace organizations with access. However, possible usage limits may apply to features like "Help me create" and AI voiceovers starting in 2026.

Robot safety: ensuring workplace protection and efficiency | Blog

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In the context of rapidly evolving industries, robotics plays a crucial role in enhancing productivity and workplace safety. As the use of industrial robots continues to grow, it is essential to prioritize robot safety to prevent accidents and injuries. While collaborative robots, also known as cobots, provide unique opportunities for human-robot interaction, they also bring new challenges in terms of safety. This article delves into the key aspects of robot safety, providing valuable insights and guidelines to ensure the well-being of workers while maximizing the benefits of automation.

Importance of robot safety

The rapid growth of robotics in various industries, such as manufacturing, warehousing, and petrochemicals, has transformed the way tasks are performed. Industrial robots are capable of handling hazardous, repetitive, and unpleasant tasks, thereby reducing the risk of injuries to human workers. However, it is crucial to address the safety concerns associated with robot-human collaboration to mitigate the potential risks and ensure a safe working environment.

Hazard recognition and assessment

Before implementing robotic systems, it is essential to conduct a comprehensive hazard recognition and assessment process. This involves identifying potential risks and hazards associated with the use of robots in the workplace. Factors such as the type of tasks performed, robot-human interaction, and the working environment should be taken into consideration. By conducting a thorough assessment, it becomes possible to implement appropriate safety measures and safeguards to minimize potential hazards.

Standards and regulations

While there are currently no specific OSHA standards for the robotics industry, it’s essential for organizations to adhere to existing safety standards. Notably, compliance with regulations such as the American National Standards Institute’s Section R15.06-2012 and the International Organization for Standardization’s robot standards, like ISO 10218, is vital. These standards offer comprehensive guidelines for identifying risks, designing safety measures, testing robot safety, and effectively operating robotic systems. Furthermore, it’s important to recognize that these regulations can vary from one country to another. Therefore, organizations should ensure compliance with local and international standards, and consult resources like the Occupational Safety and Health Administration’s technical manual on “Industrial Robot Systems and Industrial Robot System Safety” for in-depth guidance and best practices in robot integration and safety.

Ensuring safe work environments

Creating a safe work environment is paramount when integrating robots into the workplace. Here are some key practices to consider:

  1. Physical barriers and sensors

Implement physical barriers, such as guardrails, chain link fencing, or walls, to restrict access to robot work areas. Additionally, use floor sensors that can slow down or stop the robot when an employee comes too close. Light curtains and electric safety mats can also be utilized to interrupt the robot’s operation if an employee enters a protected area.

  1. Lockout/tagout procedures

Train employees on proper lockout/tagout procedures to ensure that robots are safely shut off during maintenance or repair work. Locking out the robot’s energy source is essential to prevent unexpected movement or startup that can lead to injuries.

  1. Interlinking programming and safety devices

Establish procedures to interlink the robot’s programming with electronic safety devices, such as light curtains, shutoff sensors, or door interlocks. This integration ensures that if a safety device is triggered, the robot’s tasks are halted immediately, preventing potential accidents.

  1. Clear communication of safety rules

Human error is a leading cause of workplace accidents. Regularly communicate and post safety rules in the workplace to remind employees of best practices. This includes keeping the robot work area clear of obstructions, avoiding loose-fitting clothing, tying up long hair, wearing safety glasses, and removing the tech pendant from the robot’s work area.

  1. Training and risk assessments

Provide comprehensive training to employees on the safe operation and maintenance of robots. Ensure that employees are familiar with the manufacturer’s best practices for safety and maintenance protocols. Conduct regular risk assessments to identify potential hazards and implement appropriate control measures.

While the focus has primarily been on fixed robots, ensuring safety for mobile robots is equally important. Mobile robots are employed in various industries, where humans may interact with them. The unique challenges of mobile robots operating in unstructured environments necessitate specific safety measures:

  1. Accurate and reliable sensory systems

Mobile robots must be equipped with accurate, reliable, and redundant sensory systems to perceive their environment. These sensors provide crucial information for navigation, obstacle avoidance, and human detection, ensuring safe interaction with the surroundings.

The software that controls mobile robots should be reliable and robust. It should prioritize safety by incorporating fail-safe mechanisms and error handling strategies. This ensures that the robot can respond appropriately to unexpected situations or sensor inaccuracies.

To reduce the risk of collisions and injuries, mobile robots should operate at low speeds. Slower speeds allow the robot to react and adapt to dynamic changes in the environment, thereby ensuring the safety of both humans and the robot itself.

  1. Braking and emergency stop systems

Mobile robots should be equipped with braking and emergency stop systems to halt their motion when necessary. These systems enable immediate action in the event of an emergency or when external hazards are detected.

Maintenance and modification of robot systems

Proper maintenance and modification of robot systems are essential to ensure their continued safe operation. Consider the following practices:

  1. Well-Defined maintenance procedures

Develop well-documented maintenance procedures to guide technicians in maintaining robot systems. This includes routine inspections, cleaning, lubrication, and calibration of the robot components.

  1. Precautions during maintenance

During maintenance activities, technicians should take precautions to prevent unexpected movements or activations of the robot. This may involve isolating power sources, locking out control panels, and wearing appropriate personal protective equipment.

  1. Training for maintenance personnel

Provide comprehensive training to maintenance personnel on the safe handling and maintenance of robot systems. Ensure that they are aware of potential hazards and equipped with the necessary knowledge and skills to mitigate risks.

Robot safety is a critical aspect of workplace safety in industries utilizing robotics. By implementing proper safety measures, organizations can ensure the well-being of their employees while reaping the benefits of automation. Hazard recognition and assessment, adherence to safety standards, and the implementation of physical barriers, interlinked programming, and training programs are essential for a safe working environment. Furthermore, mobile robot safety and proper maintenance and modification practices contribute to the overall safety and efficiency of robot systems. By prioritizing robot safety, organizations can create a workplace where humans and robots can collaborate effectively and securely.

Remember, ensuring robot safety is an ongoing process that requires continuous evaluation, training, and improvement. By staying informed about the latest safety practices and technological advancements, organizations can stay at the forefront of robot safety and maintain a safe and productive work environment.

If you’re ready to revolutionize your manufacturing processes with robotics, don’t hesitate to get in touch with us today. We’re here to assist manufacturing firms in successfully implementing robots and achieving new levels of efficiency and productivity. Contact us now to start your automation journey!

AI Use Skyrockets in Education

Key Points:

  • Educators remain confident in integrating technology into their instruction, with 97% feeling confident in using technology in an instructionally effective way.
  • The use of generative AI has increased 5x in one year, with 76% of educators believing it is valuable to their work and 72% planning to use it more in the next school year.
  • Despite the benefits, educators have concerns about plagiarism (58%), student over-dependence (54%), and lack of professional development (35%).

Outlook on Classroom Technology:

Over the past decade, educators have maintained a high level of confidence in using technology to enhance teaching and student achievement. Key findings include:

  • 97% of educators are confident in using technology in an instructionally effective way.
  • 66% say tools connecting instruction with supplemental practice, intervention, and assessment on one platform would be a game-changer.
  • Of those teaching 10 years or more, 81% feel tech has had a positive impact on the profession over the past decade.

Outlook on Generative AI: Early Optimism, Caution Ahead

The 2024 AI Confidence Index highlights the evolving challenges and opportunities in education. Key findings include:

  • 76% of educators believe generative AI is at least somewhat valuable to their work.
  • 73% say it saves them time.
  • 72% plan to use it even more in the next school year.
  • Educators overwhelmingly agree that tools utilizing generative AI should be harnessed positively, with all users taught to use them ethically (84%) and need to fulfill teacher professional development needs to address their application (76%).
  • However, there is a wariness among educators using generative AI about students using the tech to take shortcuts, with concerns about plagiarism (58%), student over-dependence (54%), and lack of professional development (35%).

Outlook on Teaching: There’s Work to Do

Despite remaining resilient and committed to improving education, many educators feel negatively about the profession. Key findings include:

  • Educator sentiment toward the profession is lower today than when the survey began in 2015, with 41% of educators feeling positive versus 36% today.
  • 64% of educators still feel negatively about the state of teaching and learning, citing concerns about inadequate compensation, mental health, and lack of funding.
  • 41% of educators have yet to rule out leaving the field, and 26% say they will leave within the next five years.

Conclusion

The 2024 Educator Confidence Report highlights the evolving challenges and opportunities in education. While educators remain confident in integrating technology into their instruction, there are concerns about the impact of generative AI and the state of teaching and learning. As the report underscores, there is work to be done to address these concerns and ensure educators have the tools, technology, and professional learning support they need to help every student get a quality education.

FAQs

Q: What is the 2024 AI Confidence Index?
A: The 2024 AI Confidence Index is a new metric created to examine how educators feel about the impact and potential of generative AI.

Q: How confident are educators in using technology in their instruction?
A: 97% of educators are confident in using technology in an instructionally effective way.

Q: What are the concerns about generative AI among educators?
A: Educators have concerns about plagiarism, student over-dependence, and lack of professional development.

Q: How does the report highlight the evolving challenges and opportunities in education?
A: The report highlights the evolving challenges and opportunities in education, including the growing role of digital technologies, including generative AI, in transforming classrooms.

PAL Robotics celebrates 20 years

PAL Robotics Celebrates 20 Years of Innovation and Technological Breakthroughs

Founded in 2004, PAL Robotics has grown from a small Barcelona-based startup into a global leader, pushing transformation in fields where technology can make a real positive impact in people’s lives.

Innovative Solutions

PAL Robotics develops service robots for research, retail, healthcare, agrifood, and industrial applications, including humanoids, mobile manipulators, and autonomous navigation bases. With endless applications, they have proven their potential in more than 50 collaborative projects with renowned universities and research centers worldwide.

Market Growth

The company is celebrating its 20th anniversary on the brink of a transformative era, driven by leaps in technology and substantial market expansion, projected to reach $43.32 billion by 2027, according to Statista (2023). In 2021 alone, over half a million new industrial robots were installed globally, marking a 31 percent year-on-year increase, according to a recent report of International Federation of Robotics (2024). Sales of professional service robots also rose by 30% in 2023, as reported by IFR, reflecting the demand across industries.

Human-Centric Approach

Despite the exponential growth of the market, the company remains committed to a human-centric approach, maintaining a non-militarization position since its beginning. Francesco Ferro, CEO of PAL Robotics, says: "Technology should always serve people. Our goal is to create robots that work with people, adapting to our habits and responding smartly to dynamic environments."

CEO of the Year

A testament to PAL Robotics’ success is the recent recognition of its CEO, Francesco Ferro, who was named CEO of the Year for his visionary leadership. Under his guidance, the company has achieved significant innovations such as torque control, enabling robots to safely interact with humans.

Shaping Europe’s Robotics Future

Ferro’s involvement in European robotics initiatives means PAL Robotics is not only a contributor, but part of a larger, collaborative effort within the European robotics value network. As an active participant in this landscape, Ferro plays a vital role in shaping the legislative and technical frameworks that will define the future of robotics across Europe.

AI Integrations with Robotics

In the AI golden era, it is important to emphasize the important role that robotics brings to this field. AI needs data, and robots are uniquely positioned to gather rich, contextual information from dynamic environments. This real-world data not only enhances AI training but also enables the development of more nuanced algorithms capable of learning from actual interactions.

Looking to the ‘Next 20 Years of Robotics’

As PAL Robotics enters its third decade, the company says its future lies in providing solutions for sustainability, AI integration, and addressing the ongoing challenges of standardization and interoperability.

Conclusion

PAL Robotics’ commitment to innovation, human-centric approach, and market growth has positioned the company as a global leader in the robotics industry. As the company looks to the future, it is poised to continue pushing the boundaries of what is possible with robotics and AI.

FAQs

Q: What is PAL Robotics’ focus area?
A: PAL Robotics develops service robots for research, retail, healthcare, agrifood, and industrial applications.

Q: What is the projected market growth for the robotics industry?
A: The market is projected to reach $43.32 billion by 2027, according to Statista (2023).

Q: What is PAL Robotics’ approach to AI integrations?
A: PAL Robotics believes that AI needs data, and robots are uniquely positioned to gather rich, contextual information from dynamic environments.

Q: What is the company’s commitment to sustainability?
A: PAL Robotics is committed to providing solutions for sustainability and addressing the ongoing challenges of standardization and interoperability.

Adapt or Fall Behind: The Strategic Role of AI for Forward-Thinking CFOs

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Chief Financial Officers: From Number Crunchers to Strategic Leaders

Chief financial officers (CFOs) are no longer just number crunchers; they are strategic leaders responsible for driving innovation and growth. With advancements in new technologies such as generative AI, finance leaders have remarkable tools to reshape how they operate, innovate and provide value across their organizations.

The Role of Generative AI in Finance

AI has already started to transform how CFOs manage their teams, processes and overall strategy. Among all the rapid advancements in AI over the last few years is generative AI, a technology that not only analyzes data but also generates content, ideas and solutions based on that data. With generative AI, finance leaders can automate repetitive tasks, improve decision-making and drive efficiencies that were previously unimaginable.

4 Key Takeaways from the IBV CFO Study

1. Technology as a Core: The role of the CFO is no longer confined to financial stewardship. CFOs increasingly play a key role in integrating technology and business strategies. Leading CFOs say CTOs are their most important relationship, with 72% identifying them as critical.

2. Execution and Strategy are Like Yin and Yang—Opposites but Interconnected with Each Other: CFOs are positioned as key agents of change, needing to balance precision and agility in response to evolving strategic factors. 36% more leading CFOs can respond quickly to strategy changes compared to their peers.

3. Data is the Lifeblood of Your AI: AI adoption in finance is not just about cutting costs; it’s about unlocking new growth opportunities. Better data analytics enable an organization to make smarter financial decisions. Despite its proven benefits, AI’s potential in finance is underutilized, with just 34% of finance operations using or optimizing traditional AI.

4. Take the Risk with Confidence: 1 of the key challenges CFOs face is balancing the risk appetite and managing risk effectively. Without proper risk management, the organization becomes most susceptible to unexpected events, financial losses, ineffective decision-making, reputational damage, resource misallocation and operational disruption. AI can help identify potential risks earlier, allowing for more proactive management and better resource allocation.

Successful CFOs Know that Continuous Learning is Essential to Innovation

For CFOs looking to remain competitive in an ever-evolving business environment, understanding and applying generative AI is essential. Things to consider on your gen AI learning journey:

  • Real-world use cases: Learn from experts, peers, dedicated training materials and webinars to understand how AI is already being implemented in financial operations, from automating data entry to enhancing predictive analytics and reporting.
  • Strategic insights from experts: Listen to industry leaders and experts about the transformative impact of AI on finance and how CFOs can become the bridge between finance and technology.
  • Actionable advice: Gain practical tips and strategies to help you implement AI solutions in your organization, and see how you can use the gained insights to make informed decisions.

Conclusion

CFOs are uniquely positioned to drive meaningful change in their organizations. By embracing the transformative power of generative AI, finance leaders can move beyond traditional financial management and become true innovators. Whether you’re looking to streamline operations, enhance data-driven decision-making or lead your organization through digital transformation, AI offers a powerful set of tools to help you achieve these goals.

FAQs

Q: What is generative AI?
A: Generative AI is a technology that not only analyzes data but also generates content, ideas and solutions based on that data.

Q: How can CFOs effectively use generative AI?
A: CFOs can use generative AI to automate repetitive tasks, improve decision-making and drive efficiencies that were previously unimaginable.

Q: What are the key takeaways from the IBV CFO Study?
A: The key takeaways from the IBV CFO Study are that technology is a core part of the CFO role, execution and strategy are interconnected, data is the lifeblood of AI, and taking risk with confidence is essential.

Q: How can CFOs stay competitive in an ever-evolving business environment?
A: CFOs can stay competitive by understanding and applying generative AI, learning from real-world use cases, gaining strategic insights from experts, and gaining actionable advice.

Claude AI Secures Palantir Deal for Secret Government Data Processing

An Ethical Minefield

Since its founders started Anthropic in 2021, the company has marketed itself as one that takes an ethics- and safety-focused approach to AI development. The company differentiates itself from competitors like OpenAI by adopting what it calls responsible development practices and self-imposed ethical constraints on its models, such as its “Constitutional AI” system.

New Defense Partnership Raises Questions

As Futurism points out, this new defense partnership appears to conflict with Anthropic’s public “good guy” persona, and pro-AI pundits on social media are noticing. Frequent AI commentator Nabeel S. Qureshi wrote on X, “Imagine telling the safety-concerned, effective altruist founders of Anthropic in 2021 that a mere three years after founding the company, they’d be signing partnerships to deploy their ~AGI model straight to the military frontlines.”

Conflicting Values?

Aside from the implications of working with defense and intelligence agencies, the deal connects Anthropic with Palantir, a controversial company which recently won a $480 million contract to develop an AI-powered target identification system called Maven Smart System for the US Army. Project Maven has sparked criticism within the tech sector over military applications of AI technology.

Rules and Limitations for Government Use

It’s worth noting that Anthropic’s terms of service do outline specific rules and limitations for government use. These terms permit activities like foreign intelligence analysis and identifying covert influence campaigns, while prohibiting uses such as disinformation, weapons development, censorship, and domestic surveillance. Government agencies that maintain regular communication with Anthropic about their use of Claude may receive broader permissions to use the AI models.

Concerns Remain

Even if Claude is never used to target a human or as part of a weapons system, other issues remain. While its Claude models are highly regarded in the AI community, they (like all LLMs) have the tendency to confabulate, potentially generating incorrect information in a way that is difficult to detect.

A Huge Potential Problem

That’s a huge potential problem that could impact Claude’s effectiveness with secret government data, and that fact, along with the other associations, has Futurism’s Victor Tangermann worried. As he puts it, “It’s a disconcerting partnership that sets up the AI industry’s growing ties with the US military-industrial complex, a worrying trend that should raise all kinds of alarm bells given the tech’s many inherent flaws—and even more so when lives could be at stake.”

Conclusion

Anthropic’s partnership with defense and intelligence agencies raises important questions about the ethics of AI development and deployment. While the company’s “Constitutional AI” system is designed to prioritize safety and ethics, the concerns surrounding this partnership highlight the need for further discussion and regulation around the use of AI in the military and intelligence communities.

FAQs

Q: What is Anthropic’s “Constitutional AI” system?

A: Anthropic’s “Constitutional AI” system is a self-imposed ethical framework that guides the development and deployment of its AI models. The system prioritizes safety, transparency, and accountability in the design and use of AI systems.

Q: What does the partnership with defense and intelligence agencies mean for Anthropic?

A: The partnership appears to conflict with Anthropic’s public “good guy” persona, and raises concerns about the potential use of its AI models for military or intelligence purposes. While the company’s terms of service outline specific rules and limitations for government use, the partnership has sparked criticism and debate within the AI community.

Q: What are the potential risks of using AI in the military and intelligence communities?

A: The potential risks include the use of AI models to target individuals or populations, the potential for unintended consequences, and the lack of transparency and accountability in the development and deployment of AI systems. Additionally, the use of AI in these communities raises ethical concerns about the potential for bias, exploitation, and harm to individuals and society.

Q: What can be done to address these concerns?

A: To address these concerns, it is necessary to prioritize transparency, accountability, and ethics in the development and deployment of AI systems. This can be achieved through the implementation of robust governance structures, the development of clear guidelines and regulations, and the promotion of public debate and discussion about the potential risks and benefits of AI use in the military and intelligence communities.

OpenAI Scored a Legal Win

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The DMCA Dispute: Experts Weigh In

A Similar Case

The Center for Investigative Reporting, a nonprofit newsroom, and The Intercept, a news organization, have also filed DMCA claims against OpenAI and Microsoft in a copyright infringement case. The case is ongoing, and experts are divided on the outcome.

Disagreement Among Experts

Not all experts agree with the court’s decision. Matthew Sag, a professor of law and artificial intelligence at Emory University, believes that the publishers failed to prove that OpenAI broke the law. He argues that they did not provide concrete examples of how ChatGPT distributed copies of their work after stripping CMI.

Specific Examples Required

Ann G. Fort, an intellectual property lawyer and partner at Eversheds Sutherland, suspects that the news outlets will need to provide specific examples of how ChatGPT produces infringing responses. "They’re going to need to show output," she says.

The Impact of the Ruling

The ruling could have far-reaching consequences, according to James Grimmelmann, a professor of digital and internet law at Cornell University. He believes that the logic applied in this case could be extended to argue that publishers don’t have standing "to sue over model training at all, even for copyright infringement."

The Broader Concept of Infringement

The judge pointedly noted that she found the specific DMCA claims lacking rather than the broader concept of infringement. "Let us be clear about what is really at stake here. The alleged injury for which the plaintiffs truly seek redress is not the exclusion of CMI from defendant’s training sets, but rather the defendant’s use of plaintiff’s articles to develop ChatGPT without compensation to plaintiff," Judge McMahon writes.

Conclusion

The dispute highlights the contentious nature of DMCA claims in AI lawsuits. While the court’s decision may be a setback for the publishers, the case is far from over. The outcome will depend on the specific arguments presented and the evidence provided.

FAQs

Q: What is the DMCA?
A: The DMCA (Digital Millennium Copyright Act) is a United States copyright law that criminalizes the production, distribution, or possession of technology that can be used to circumvent measures that control access to copyrighted works.

Q: What is a DMCA claim?
A: A DMCA claim is a legal action brought under the DMCA to stop the unauthorized distribution of copyrighted material.

Q: What is ChatGPT?
A: ChatGPT is a language model developed by OpenAI that can generate human-like text responses.

Q: What is the Center for Investigative Reporting?
A: The Center for Investigative Reporting is a nonprofit newsroom that produces investigative journalism.

IBM Shapes AI Governance in Education with Smarter Balanced

Defining the Challenge

The California-based Smarter Balanced Assessment Consortium is a member-led public organization that provides assessment systems to educators working in K-12 and higher education. The organization, which was founded in 2010, partners with state education agencies to develop innovative, standards-aligned test assessment systems. Smarter Balanced supports educators with tools, lessons, and resources, including formative, interim, and summative assessments, which help educators identify learning opportunities and strengthen student learning.

Smarter Balanced is committed to evolution and innovation in an ever-changing educational landscape. Through a collaboration with IBM Consulting, it aims to explore a principled approach for the use of artificial intelligence (AI) in educational assessments. The collaboration was announced in early 2024 and is ongoing.

Incorporating Diversity

For the Smarter Balanced project, the combined teams established a think tank that included a diverse set of subject-matter experts and thought leaders. This group comprised experts in the fields of educational assessment and law, neurodivergent people, students, people with accessibility challenges, and others.

"The Smarter Balanced AI think tank is about ensuring that AI is trustworthy and responsible and that our AI enhances learning experiences for students," said think tank member Charlotte Dungan, Program Architect of AI Bootcamps for the Mark Cuban Foundation.

The goal of the think tank is not to simply incorporate its members’ expertise, viewpoints, and lived experiences into the governance framework in a "one-and-done" way, but iteratively. The approach mirrors a key principle of AI ethics at IBM: the purpose of AI is to augment human intelligence, not replace it. Systems that incorporate ongoing input, evaluation, and review by diverse stakeholders can better foster trust and promote equitable outcomes, ultimately creating a more inclusive and effective educational environment.

Exploring Student-Centered Values

One of the first efforts that Smarter Balanced and IBM Consulting undertook as a group was to ascertain the human values that we want to see reflected in AI models. This is not a new ethical question, and thus we landed on a set of values and definitions that map to IBM’s AI pillars, or fundamental properties for trustworthy AI:

  • Explainability: Having functions and outcomes that can be explained non-technically
  • Fairness: Treating people equitably
  • Robustness: Security and reliability, resistance to adversarial attacks
  • Transparency: Disclosure of AI usage, functionality, and data use
  • Data Privacy: Disclosure and safeguarding of users’ privacy and data rights

Operationalizing these values in any organization is a challenge. In an organization that assesses students’ skill sets, the bar is even higher. But the potential benefits of AI make this work worthwhile: "With generative AI, we have an opportunity to engage students better, assess them accurately with timely and actionable feedback, and build in 21st-century skills that are actively enhanced with AI tools, including creativity, critical thinking, communication strategies, social-emotional learning, and growth mindset," said Dungan.

Exploring Layers of Effect and Disparate Impact

For this exercise, we undertook a design thinking framework called Layers of Effect, one of several frameworks IBM Design for AI has donated to the open source community Design Ethically. The Layers of Effect framework asks stakeholders to consider primary, secondary, and tertiary effects of their products or experiences.

The primary (desired) effect of the AI-enhanced test assessment system is a more equitable, representative, and effective tool that improves learning outcomes across the educational system. The secondary effects might include boosting efficiencies and gathering relevant data to help with better resource allocation where it is most needed. Tertiary effects are possibly known and unintended. This is where stakeholders must explore what potential unintended harm might look like.

The teams identified five categories of potential high-level harm:

  • Harmful bias considerations that do not account for or support students from vulnerable populations that may need extra resources and perspectives to support their diverse needs.
  • Issues related to cybersecurity and personally identifiable information (PII) in school systems that do not have adequate procedures in place for their devices and networks.
  • Lack of governance and guardrails that ensure AI models continue to behave in intended ways.
  • Lack of appropriate communications to parents, students, teachers, and administrative staff around the intended use of AI systems in schools. These communications should describe protections against inappropriate use, and agency, such as how to opt out.
  • Limited off-campus connectivity that might reduce access to technology and the subsequent use of AI, particularly in rural areas.

Initially applied in legal cases, disparate impact assessments help organizations identify potential biases. These assessments explore how seemingly neutral policies and practices can disproportionately affect individuals from protected classes, such as those susceptible to discrimination based on race, religion, gender, and other characteristics. Such assessments have proven effective in the development of policies related to hiring, lending, and healthcare. In our education use case, we sought to consider cohorts of students who might experience inequitable outcomes from assessments due to their circumstances.

The groups identified as most susceptible to potential harm included:

  • Those who struggle with mental health
  • Those who come from more varied socioeconomic backgrounds, including those who are not housed
  • Those whose dominant language is not English
  • Those with other non-language cultural considerations
  • Those who are neurodivergent or have accessibility issues

In Conclusion

This is a bigger conversation than just IBM and Smarter Balanced. We are publicly publishing our process because we believe those experimenting with new uses for AI should consider the unintended effects of their models. We want to help ensure that AI models that are being built for education are serving the needs not just of a few, but for society in its entirety, with all its diversity.

"We see this as an opportunity to use a principled approach and develop student-centered values that will help the educational measurement community adopt trustworthy AI. By detailing the process that is being used by this initiative, we hope to help organizations that are considering AI-powered educational assessments have better, more granular conversations about the use of responsible AI in educational measurement." — Rochelle Michel, Deputy Executive Program Officer, Smarter Balanced.

FAQs

Q: What is the goal of the Smarter Balanced AI think tank?
A: The goal of the think tank is to ensure that AI is trustworthy and responsible and that our AI enhances learning experiences for students.

Q: What are the values that guide the use of AI in assessing children and young learners?
A: The values that guide the use of AI in assessing children and young learners include explainability, fairness, robustness, transparency, and data privacy.

Q: How will the teams ensure that AI models continue to behave in intended ways?
A: The teams will ensure that AI models continue to behave in intended ways by incorporating ongoing input, evaluation, and review by diverse stakeholders.

Q: What are the potential high-level harms associated with AI-powered educational assessments?
A: The potential high-level harms associated with AI-powered educational assessments include harmful bias considerations, issues related to cybersecurity and personally identifiable information, lack of governance and guardrails, lack of appropriate communications, and limited off-campus connectivity.

Q: Who is most susceptible to potential harm from AI-powered educational assessments?
A: Those who struggle with mental health, those who come from more varied socioeconomic backgrounds, those whose dominant language is not English, those with other non-language cultural considerations, and those who are neurodivergent or have accessibility issues are most susceptible to potential harm from AI-powered educational assessments.

SmartThings Blog

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How can we make your life easier? That’s the question driving the smart solutions that SmartThings and our partners, like Tuya, deliver every day.

Tuya is a leading cloud platform service provider that works with and for developers to create the devices that make our lives smarter.  Users can control these Tuya-enabled devices seamlessly using the SmartThings app.

In our latest LinkedIn Q&A, we chatted with Tuya to discuss our partnership, the future of AI technology, how their solutions work with SmartThings, and more. Browse the highlights below or keep reading for the full conversation. 

The Highlights

SmartThings: Why is our partnership so significant? 

Tuya: Our collaboration stands out for several key reasons:

  • Seamless Interoperability: Together, we’re breaking down barriers with Matter protocol integration, offering a seamless smart home experience across Tuya and SmartThings ecosystems. 
  • Expanded Consumer Choice: Customers can gain access to a wider range of smart home solutions, blending the SmartThings app with the versatility of Tuya-enabled devices.
  • Simplified Control:  Customers experience the ultimate convenience with a single app to manage their entire smart home ecosystem. 

But the most important aspect is that we both share a vision for a smarter tomorrow, where technology seamlessly enhances our lives. That is what we are working towards as we continue to deliver cutting-edge solutions for a more comfortable, convenient, and sustainable future.

SmartThings: That’s very well said! We’re eager to see how our collaboration unfolds. Speaking of progress, congratulations are in order! It is Tuya’s 10th anniversary this year. Reflecting on the past 10 years, what are some of your most significant accomplishments? 

Tuya: Reflecting on Tuya’s decade of innovation, we’ve achieved important milestones in three key areas:

  • Firstly, we’ve upgraded our developer platform, developed Cube AI & AI Energy Saving Dashboard, refreshed Smart Commercial SaaS, and introduced Home & Building Energy Management Systems. These endeavors have bolstered our portfolio and pushed the boundaries of smart technology.
  • Secondly, our thriving developer community and global partnerships have accelerated smart industry growth. Integration with Matter applications, alongside collaborations like SmartThings, has enhanced user convenience and fostered intelligent, eco-friendly experiences.
  • Thirdly, we’ve achieved quarterly profit in Q2 2023 and Non-GAAP profitability in Q1 of this year, which underscores our resilient growth and commitment to sustainable success.

Looking ahead, we’re integrating generative AI into our offerings to enable global developers, while revolutionizing user interactions. Confident in our leadership, we’ll continue delivering value to clients and users.

SmartThings: Tell us more about your developer solutions and how they work! 

Tuya: We offer a cutting-edge cloud developer platform, with extensive development tools and support for swift, efficient smart device and application creation. Customers can leverage devices as connectivity nodes to create differentiated smart solutions to enhance products, optimize user experiences, and boost commercial success.

For device connectivity, we support mainstream protocols across industries (e.g., Bluetooth, Wi-Fi, Zigbee, Matter) and mainstream ecosystem platforms especially Samsung SmartThings, enabling seamless integration.

Moreover, we support more than 2,800 device categories, allowing developers to customize products for their business needs.

For customers seeking all-in-one integrated solutions, we provide comprehensive support for various vertical application scenarios, facilitating one-stop deployment through software-hardware synergy. For those who prefer private deployment, our Cube Cloud solution caters to enterprise-level Cloud-edge-end privatization, enabling exclusive smart management systems tailored to client requirements. 

Our full conversation with Tuya

SmartThings: Hey, Tuya! Thank you for joining us for a Q&A today. For those who are new to your brand, what is Tuya? 

Tuya: Hey, SmartThings! Thanks for having us. Tuya Inc. (NYSE: TUYA; HKEX: 2391) is a global leading cloud platform service provider with a mission to build a smart solutions developer ecosystem that enables everything to be smart. 

Tuya has pioneered a purpose-built cloud developer platform with cloud and generative AI capabilities that delivers a full suite of offerings, including Platform-as-a-Service, or PaaS, Software-as-a-Service, or SaaS, and smart solutions for developers of smart device, commercial applications, and industries. 

Through its cloud developer platform, Tuya has activated a vibrant global developer community of brands, OEMs, AI Agents, system integrators, and independent software vendors to collectively strive for a smart solutions ecosystem embodying the principles of green and low-carbon, security, high-efficiency, agility, and openness.

SmartThings: Why is our partnership so significant? 

Tuya: Our collaboration stands out for several key reasons:

  • Seamless Interoperability: Together, we’re breaking down barriers with Matter protocol integration, offering a seamless smart home experience across Tuya and SmartThings ecosystems. 
  • Expanded Consumer Choice: Gain access to a wider range of smart home solutions, blending the SmartThings app with the versatility of Tuya-enabled devices.
  • Simplified Control: Experience the ultimate convenience with a single app to manage the entire smart home ecosystem. 

But the most important aspect is that we both share a vision for a smarter tomorrow, where technology seamlessly enhances our lives. That is what we are working towards as we continue to deliver cutting-edge solutions for a more comfortable, convenient, and sustainable future.

SmartThings: That’s very well said! We’re eager to see how our collaboration unfolds. Speaking of progress, congratulations are in order! It is Tuya’s 10th anniversary this year. Reflecting on the past 10 years, what are some of the most significant accomplishments? 

Tuya: Reflecting on Tuya’s decade of innovation, we’ve achieved important milestones in three key areas:

  • Firstly, we’ve upgraded our developer platform, developed Cube AI & AI Energy Saving Dashboard, refreshed Smart Commercial SaaS, and introduced Home & Building Energy Management Systems. These endeavors have bolstered our portfolio and pushed the boundaries of smart technology.
  • Secondly, our thriving developer community and global partnerships have accelerated smart industry growth. Integration with Matter applications, alongside collaborations like SmartThings, have enhanced user convenience and fostered intelligent, eco-friendly experiences.
  • Thirdly, we’ve achieved quarterly profit in Q2 2023 and Non-GAAP profitability in Q1 of this year, which underscores our resilient growth and commitment to sustainable success.

Looking ahead, we’re integrating generative AI into our offerings to enable global developers, while revolutionizing user interactions. Confident in our leadership, we’ll continue delivering value to clients and users.

SmartThings: Tell us more about your developer solutions and Tuya-enabled devices and how they work! 

Tuya: We offer a cutting-edge cloud developer platform, with extensive development tools and support for swift, efficient smart device and application creation. Customers can leverage devices as connectivity nodes to create differentiated smart solutions to enhance products, optimize user experiences, and boost commercial success.

For device connectivity, we support mainstream protocols across industries (e.g., Bluetooth, Wi-Fi, Zigbee, Matter) and mainstream ecosystem platforms especially Samsung SmartThings, enabling seamless integration.

Moreover, we support more than 2,800 device categories, allowing developers to customize products for their business needs.

For customers seeking all-in-one integrated solutions, we provide comprehensive support for various vertical application scenarios, facilitating one-stop deployment through software-hardware synergy. For those who prefer private deployment, our Cube Cloud solution caters to enterprise-level Cloud-edge-end privatization, enabling exclusive smart management systems tailored to client requirements. 

Given this, why are developers so important for the IoT market? 

SmartThings: Developers are essential to building and launching user-friendly IoT products that make life more enjoyable, productive, and sustainable for consumers and businesses.

Helping developers build these products and bring them to market is very important, and we applaud the work Tuya has done for their IoT Developer community.  

At SmartThings, we also work very closely with our developer community, as their partnership and feedback are vital to how SmartThings functions and how integrations work now and in the future. 

Additionally, we’ve heavily invested in our Developer Center to help our diverse device partners succeed, integrate with SmartThings, and reach users worldwide.

Our Developer Center offers a range of tools, including:

  1. A Getting Started Wizard, Documentation, and Code Samples.  
  2. A no-code Edge Driver builder and SmartThings Command Line Interface for development.
  3. A Certification Console featuring a new Test Suite and product management tools so developers can quickly submit their devices to integrate with SmartThings, such as Certification by Similarity and Product Cloning. 
  4. New post-certification analytics to track product usage and options for users to buy products directly from our partners.

We are here to support our developers every step of the way and are grateful for our partnerships.

SmartThings: How does/will AI play a role in the future?

Tuya: AI will play a pivotal role in shaping the future by enhancing efficiency, driving innovation, improving decision-making, addressing global challenges, and transforming industries like healthcare, transportation, and education. For instance, in energy-saving scenarios, our Cube AI analyzes real-time consumption to generate optimal strategies, offering cutting-edge AI technology and product value. Its application potential spans diverse smart scenarios, addressing issues like energy conservation and management in industrial, commercial, and household settings.

Additionally, we create AI development tools for global developers, including the AI Developer Kit integrating large language models and platforms for efficient development, operation, and commercialization. AI Analyst, a practical solution for brand customers, also provides valuable insights and assistance. 

Looking ahead, we will continue to embrace AI and implement AI in different scenarios, expanding our offerings to cover safety, plant breeding, environmental management, healthcare, pet companionship, and more.

SmartThings: That was very informative! Thank you to our partners at Tuya for chatting with us today! Want to know more? #DoTheSmartThings and drop a note in the comments. 

Tuya: Thank you for having us, SmartThings!