When it comes to AI governance, what do the world’s biggest AI companies, the world’s smartest AI academics, and the world’s most famous consulting firms have in common?
None of them are responsible for how they work in your business.
This is part two of a series on successfully implementing AI ethics and governance in large organizations. The first part talks about the challenge of interpretation: How specialized talent is needed to bridge the gap between high-level policies and unique AI use cases.
In this article we talk about the next two gaps: organizational gap examining the challenge of AI ethics and ownership of governance distributed across different departments, and the implementation gap reluctance to implement AI ethics and governance measures at scale under pressure to adopt AI.
Focus on AI ethics and governance on a large scale — in a way that is integrated into the company’s fundamental processes and decisions. Departure on AI ethics is simple – the problem is that they often end with the 3 Ps: principles, drivers and public relations (public relations). Munn (2022) provocative article ‘The…
