How AI leaders can shape AI governance from ethical to responsible AI (RAI) that engages. By Andreas Welsch.

On April 30, Elizabeth M. Adams (Leader of Responsible AI) joined me on “What’s the BUZZ?” and shared examples of how RAI has transitioned from a theoretical ideal to a practical necessity within organizations. While larger corporations often demonstrate a robust infrastructure for responsible AI, smaller entities bring agility to their implementation strategies, quickly adapting to new challenges and innovations. But how can leaders fulfill their responsibility of engaging their teams to embrace RAI? Here is what we’ve talked about…

From Ethical Theories to Corporate Strategies

Responsible AI has significantly evolved over the years, shifting from a purely theoretical discussion about ethics to a practical implementation within corporate strategies. Initially coined as “ethical AI” during the mid-2010s, the focus was largely on developing principles that would guide the trustworthy use of AI technologies. This discourse has now matured into “RAI” — a comprehensive framework encompassing transparency, accountability, and ethical operations within business practices.

Organizations have taken varying approaches to integrate these principles into their daily operations. Large corporations have established dedicated centers of excellence facilitating collaboration across departments, ensuring AI policies are created and deeply embedded into the organizational culture. These policies outline clear responsibilities and provide a blueprint for handling AI-related decisions and innovations, making responsible AI an integral part of the corporate ethos. However, simply having a RAI program in place is no guarantee for success on its own.[…]

Der Beitrag Evolving Responsible AI Practices: What 50 Expert Interviews Reveal erschien zuerst auf SwissCognitive | AI Ventures, Advisory & Research.