Fast Company Executive Board member Deepti Kunupudi shares best practices for fairness, transparency, accountability, and privacy in AI.
Across industries and disciplines, across corporations, government agencies, and nonprofits, and across various roles within various organizations, many of us are being encouraged to use generative AI ...
While the study documents persistent gender differences in AI use, it also provides evidence that these patterns are not ...
AI’s biggest dangers aren’t sci-fi — they’re here now. Paul Dongha shares how CISOs can spot red flags and keep AI use ethical and accountable. Paul Dongha is head of responsible AI and AI strategy at ...
AI is central to how companies operate and compete. But ungoverned systems fail in production, create liability exposure and ...
GenAI is rapidly changing the way litigators practice. In addition to complying with court and judges’ rules, litigators must also ensure compliance with a jurisdiction’s ethical rules when using ...
Ethical risks of AI are often discussed in terms of bias, privacy, and accountability. But new research shows how AI in the workplace can create unexpected challenges. Compliance officers spend lots ...
How do cutting-edge science and technology respond to ethical and legal issues when incorporated into society? These issues ...
Last spring, Illinois county judge Jeffrey Goffinet noticed something startling: A legal brief filed in his courtroom cited a ...
12don MSNOpinion
Is there such thing as ethical AI?
Is there such thing as ethical AI? - A new study has found that women are using generative AI far less than men because they ...
India AI Impact Summit 2026: India seeks to work with the global community to build an open source repository of AI use cases ...
Interactive recreations of deceased loved ones through artificial intelligence -- so-called "AI resurrections" -- walk a fine line between honoring and betraying individuals, while raising several ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results