AI’s Promise and Peril: A Lifecycle Framework for Responsible Innovation
By strategically intervening at key points within the AI lifecycle, we can move towards a future where AI’s immense potential is realized without succumbing to avoidable pitfalls. This structured approach, prioritizing both technical and policy solutions, encourages innovation while proactively addressing risks from model development to user interaction. Ultimately, embracing shared responsibility and continuous monitoring allows us to collaboratively navigate the evolving AI landscape, ensuring its benefits are broadly shared and its harms are effectively minimized.
April 5, 2025