PhD candidate @ Cambridge Computer Lab | AI Ethics Lead @ Deloitte UK | Ethics Committee @ DataKind UK | https://teapawt.net/t.co/Hv7rkdVy9m
Joined July 2009
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Data science practitioners: if you have 10-15 minutes to spare, please fill out this survey to help with my research on open source fairness toolkits!
cambridge.eu.qualtrics.com/j…
#DataScience #opensource #dataScientist #data #AIEthics #MachineLearning #ArtificialIntelligence
Michelle Lee retweeted
Big Data Quotes of the Week bit.ly/2UwZ8WA
THX @genemarks @JayJay_Tech @rebeccamslayton @setrag @LosAlamosNatLab @PTC @pjmcginnis @daphneleprince @IVADO_Qc @aimultiple @michellesengah @Floridi @kath0134
#fintech #ArtificialInteligence #AI #quotes #martech #ML #Data
Michelle Lee retweeted
Which are the best tools for assessing the ethical implications of data science?
That’s the question that @DataKindUK volunteers are tackling at today's 'Ethics Dive'
Our goal: create a practitioners guide for volunteers working on Datakind projects 💪🏾🧡
Michelle Lee retweeted
Back when we were planning for today's 'Ethics DataDive', @DeloitteUK were to host. As we can't do it IRL, they've sent us all food delivery vouchers instead 🍴😊🧡
Our gratitude is wonderfully demonstrated here by volunteer Craig digging into an acai bowl 😁😁😁👍🏾🍽️
Michelle Lee retweeted
Our volunteers are at the 🧡 of all we do - first up here is Michelle who runs our Selection & Scoping Committee (affectionately known as SelCom) to help us scope & shape projects with our fab charity partners #dataforgood
Michelle Lee retweeted
Such a great vol team @DataKindUK - data scientists, economists, programmers, analysts, visualisers, geographers! Great brains on #landdata
Michelle Lee retweeted
Hear @DataKindUK's Michelle Lee talk about Applied Supervised Learning: Predicting Recidivism at #qconlondon bit.ly/214ky9a