OREILLY TEAMS INDIVIDUALS FEATURES BLOG CONTENT SPONSORSHIP SIGN IN TRY NOW OREILLY" The learning platform How do account for data ethics In ML projects? your tech teams need Ethics and Data Science By Mike Lcukides; Hilary Mtason; and DJ Patil to stay ahead free E andto modity ths checklist to fit your situation and utcitin your projects Our checklist dcein rctlect JIl thc issues {IJt You should conaderna.and cutanly coran{ ecllectALL the" spplicalon? Uut oc curgeola devcloping: lct Jlonc in Uhe future: Ifyou [houqn dRnt Wnori anan chechleteeonk Waine ccountabillty. Jnd Transpjrenc} Lehint arnura group (FATML) advocates More than 60% of all Fortune 100 approxch UnncnesiotAccouatpie Acontnm; and Sochimnuct Shcmcd Alqorithm suanests eeeteni DIOTtC leas threeime Cufn D Mca dufnd dcsanprcatunch postlturch Working thiouah SCHJMIm Djc companies trust OReilly to help their rcqud devclon thinkihcu the conccamncc ofthmr Moicceand adatress Jny Moblens that turn Commun Fuinapics Ethcal0na teams learn the technologies of today_ Preclice Mlch Out ottna Dal Good Exching< (DIGX) prevdes otvalit Drlicinlc Imauhavcorcn gutncicd tnroua cormunty Oucuston ne Tcd great tantton an DrO m that wanis Cft own chacklist. And Cathy 0 Neil hnt propoted Juditing muchine and be ready for what's next: We can help canua 4 qanltn? lcnalcnt Read more yours too. Request a demo for your teams Try it free OReilly Answers pnople