Libby KinseyinDigital CatapultMind the Gap: from ethics principles to practicesIntroducing an initial attempt to visualise the applied AI ethics field as a whole in order to spark discussion and debate, and to…Dec 10, 20191Dec 10, 20191
Libby KinseyinDigital CatapultThe road to AI is paved with good intentionsHow do we bridge the gap between the ‘what’ of Responsible AI and the ‘how’?Jan 22, 2019Jan 22, 2019
Libby KinseyinDigital CatapultAI Plumbing: complex, risky and expensive?Deploying machine intelligence enabled products and services in the real world is quite a new discipline for most of us. It has different…Oct 1, 20181Oct 1, 20181
Libby KinseyinDigital CatapultAI Plumbing: mapping the landscapeBringing a machine intelligence product or service to market is hard work. It involves a wide range of technologies, tooling and processes…Oct 1, 20184Oct 1, 20184
Libby KinseyICLR2017 — deep thought vs exaflopsMany of the papers now judged most original and significant rely on massive compute resources, usually beyond the financial reach of…May 1, 2017May 1, 2017
Libby KinseyWhat does trust in banking have to do with AI?(In which I attempt to justify to myself spending a — very splendid, thought-provoking - morning attending an event on trust in banking…Mar 23, 2017Mar 23, 2017
Libby KinseyinProject Juno AIFalsehood flies, and the Truth comes limping afterSo said Jonathan Swift in his essay on Political Lying in 1710. Plus ça change… But in 2017, lies travel faster still, and there’s evidence…Jan 19, 2017Jan 19, 2017
Libby KinseyinProject Juno AIHow to avoid another AI winter..?A look at the factors — public fears and a loss of investor appetite — that could thwart AI progress, if we don’t pay them enough…Jan 14, 2017Jan 14, 2017
Libby KinseyinProject Juno AIUK Parliament wakes up to AIAt Project Juno, we spend a lot of our time thinking about machine intelligence in terms of opportunity — what problems can it solve today…Nov 23, 2016Nov 23, 2016
Libby KinseyinProject Juno AIAccelerating Machine IntelligenceCompute, data, and algorithms have combined to power the recent huge strides in machine intelligence. But there is still plenty of scope…Nov 8, 2016Nov 8, 2016