Trustworthy AI
This work tackles the problem of building trust in AI for society, but it is incremental as it builds on existing trustworthy computing and formal methods.
The paper addresses the brittleness and unfairness of AI systems by proposing trustworthy properties and exploring formal verification as an approach to ensure trust, aiming to enable society to benefit from AI.
The promise of AI is huge. AI systems have already achieved good enough performance to be in our streets and in our homes. However, they can be brittle and unfair. For society to reap the benefits of AI systems, society needs to be able to trust them. Inspired by decades of progress in trustworthy computing, we suggest what trustworthy properties would be desired of AI systems. By enumerating a set of new research questions, we explore one approach--formal verification--for ensuring trust in AI. Trustworthy AI ups the ante on both trustworthy computing and formal methods.