Responsible AI Adoption: Navigating the Challenges of Generative AI | by Liza Podkamenna | Major Digest | Jan, 2025

ARTIFICIAL INTELLIGENCE

Responsible AI Adoption in a Competitive Global Market

In today’s fast-paced business environment, companies are under pressure to adopt generative AI to stay ahead of the competition. However, as technology advances at an unprecedented rate, governing bodies across the world are convening to debate and understand the best ways to address AI risk without stifling innovation.

The question remains: how far can and should governments regulate AI risk? Regulation requires a deep understanding of what is being regulated, but there’s a catch — we don’t know what we don’t know about AI. This complexity complicates how organizations engage with governing bodies about preventing model abuse and security risks.

AI Red Teaming for Innovation and Reliability

Fortunately, some methods have proven effective in helping organizations adopt responsible AI practices. Agencies like the National Institute for Security and Technology (NIST) have released frameworks that emphasize flexibility and continuous improvement, allowing companies to proactively ensure a consistent approach to safe and reliable AI deployment.