Posts in 2019
The Sustainability Game: AI Technology as an Intervention for Public Understanding of Cooperative Investment (pdf)

Andreas Theodorou, Bryn Bandt-Law and Joanna J. Bryson, to appear at the IEEE Conference on Games (CoG), August 2019.

This is the first paper unifying our transparency work, our games work, and our work on cultural variation in human cooperation and anti-social punishment. Hopefully there will be a bunch more in 2020 and 2021. Camera ready from July 2019 or so. Software on github, linked from the AmonI Software Page.

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Improving Robot Transparency: An Investigation With Mobile Augmented Reality (pdf)

Alexandros Rotsidis, Andreas Theodorou, Joanna J. Bryson, and Robert H. Wortham, to be presented at RO-MAN 2019.

Authors’ final copy. Alex (with Andreas & Rob) got ABOD3 working on mobile phones so you can point your phone at a POSH / BOD robot and see what it’s trying to do. Software is probably available on github, just checking ...

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The Past Decade and Future of AI’s Impact on Society (pdf)

Joanna J. Bryson, a solicited and reviewed chapter in Towards a New Enlightenment? A Transcendent Decade, published by BBVA OpenMind, 2019.

This is a major policy document with my perspectives on how AI has been and should be incorporated into human society. It was originally written as a solicited white paper for the OECD on AI policy (May 2017), which I then revised to BBVA’s title (I’m almost the only person in the book who didn’t realise you could change the title). Final version submitted September 2018.

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How Society Can Maintain Human-Centric Artificial Intelligence (pdf)

Joanna J. Bryson and Andreas Theodorou, solicited and reviewed chapter (title given) in the collection Human-Centered Digitalization and Services, Marja Toivonen-Noroand Eveliina Saari (eds.), Springer, 2019.

Includes justification, motivation, strategies for systems engineering of AI, and strategies for regulating it. tl;dr see the bullet-point version in my blogpost, A smart bureaucrat’s guide to AI regulation.

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Emergent Biases in Compensatory Mutation Can Drive Gene Regulatory Network Evolution [Draft]

Yifei Wang, Marios Richards, Steve Dorus, Nicholas K. Priest, and Joanna J. Bryson, bioRxiv, 2019.

Not directly AI policy, about biological innovation. Basically, mutation really can be a factor of innovation, because compensating for things that go wrong is a lot easier than you thought. We’ve been working on this for years, it’s finally submitted somewhere — that fortunately encourages biorxiv use. See also my papers with Yifei below. Version from December 2019.

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