J is for Justice: Building Equitable AI in an Unequal World

Scales of justice illuminated in a futuristic data center, symbolizing the intersection of AI systems with fairness and accountability.

AI is not impartial—it reflects the values of those who build it.
This piece in the #ABCsOfAIethics series unpacks how systemic bias can get coded into seemingly neutral systems, and what it takes to course-correct. […]

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From Algorithms to Excellence: What I Learned About Building Better AI at the UN Science Summit

Building excellent AI systems requires more than just technical performance. At the UN Science Summit, global leaders revealed that only 23% of AI deployments undergo comprehensive ethical assessments. From cross-border governance challenges to balancing technical and ethical debt, discover practical frameworks for implementing AI that excels both technically and ethically. Learn how leading organizations are measuring excellence beyond accuracy metrics and building AI systems that create lasting positive impact […]

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