In October 2023, New York City committed to responsible AI use through its AI action plan, establishing principles like accountability, fairness, and transparency. However, a chatbot’s misleading advice on labor laws raised concerns about its implementation and the city’s oversight mechanisms. This case illustrates a broader issue: many organizations embrace responsible AI (RAI) ideals but struggle to operationalize them due to accountability, strategy, and resource gaps.
Interviews with over 20 industry leaders revealed that RAI frameworks often lack genuine commitment and accountability structures. Organizations frequently face disconnects, where ethical principles exist but fail to inform product strategy or development decisions. Resource limitations exacerbate this issue, as many companies underinvest in necessary roles, training, and tools. To address these challenges, the SHARP framework proposes actionable strategies for embedding ethics directly into AI practices within organizations. These strategies aim to ensure accountability, align ethical considerations with business goals, and reward responsible AI practices, fostering a culture of ethical decision-making.
👉 Pročitaj original: MIT Sloan Management Review
