Riley Kensington

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Responsible AI Consulting

In Embarking on AI Projects IBM Consulting's Approach As business leaders investigate the best way to apply generative AI to their enterprise at scale, they need...

Key Features of Effective Certification Schemes

Lesson Four: Existing Effective Certification Schemes are Transparent, Adaptable, and Interoperable The previous lessons raise significant challenges that certification must address in order to be...

Responsible AI Deployment Framework

Digital Transformation in Government: The Role of Generative AI Unlocking Value from Data In 2024, the ongoing process of digitalization further enhances the efficiency of government...

Prioritizing Responsible Technology Adoption

The Centre for Data Ethics and Innovation: Leading the Way in Trustworthy Innovation The Centre for Data Ethics and Innovation (CDEI) is dedicated to enabling...

Empowering Women in AI Ethics at IBM

IBM's Commitment to Equality and Inclusion For more than 100 years, IBM's founding principles have inspired efforts to promote equality, fairness, and inclusion in the...

Public Attitudes towards Data and AI

Today marks the publication of the third wave of the Centre for Data Ethics and Innovation (CDEI) Public Attitudes to Data and AI tracker...

Responsible AI: A Competitive Advantage

In the era of generative AI, the promise of the technology grows daily as organizations unlock its new possibilities. However, the true measure of...

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