Ethical AI frameworks

AI without ethics can backfire quickly. Learn why AI governance is important to build trust and make sure your AI works for everyone.

Following the initial AI frenzy, a few major players have cemented their place as the gold-star generative model proprietors, with Meta, Google, OpenAI and Anthropic emerging on top. The concentrated market has raised the question of who should be responsible for AI governance: the creators or the users.

Ravi Kottur's innovative framework for responsible AI development provides a vital roadmap for balancing ethical principles with technological progress.

Spanning modalities like text, speech, and video, the study exposes significant challenges in data provenance, licensing, and equitable representation while proposing actionable solutions to address these gaps.

Balancing Innovation and Ethics Artificial intelligence has transformed various industries, reshaped economies, and altered decision-making p

As artificial intelligence (AI) becomes more advanced and accessible, its applications in human resources and hiring are expanding

In 1949, pioneering computer scientist Edmund Callis Berkeley envisioned a future filled with thinking machines in his book Giant Brains, or Machines That Think. Decades later, his vision has become a reality with artificial intelligence (AI) reshaping industries,

By Melissa Tribelhorn, CEO/Executive Director, NWABR. As the Executive Director of the (NWABR), I have the privilege of working at the intersection of scientific discovery, ethics, and public trust. In the Pacific Northwest,