Trustworthy AI

• URL: http://arxiv.org/abs/2002.06276v1
• Date: Fri, 14 Feb 2020 22:45:36 GMT
• Title: Trustworthy AI
• Authors: Jeannette M. Wing
• Abstract summary: Trustworthy AI ups the ante on both trustworthy computing and formal methods. Inspired by decades of progress in trustworthy computing, we suggest what trustworthy properties would be desired of AI systems.
• Score: 4.670305538969914
• License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/
• Abstract: 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.

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