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 use Jnd t0 modity Ihis chectlist to fit yolr situation and Usc itin yolr projects Our checklist dcein rctlect eIl thc issues {IJt You should conadcrna.and cutanly coren{ ecllectALL the" spplicalon? Uute oc curgenll dorcloping: let slone in {he tuture: Ifyou [houqn daennt Wnori ana chechleteeonk Fines ccountabillty. Jnd Transpjrenc} Lehint arnura group (FATML) advocates More than 60% of all Fortune 100 approxch Unncnes Accountpie Aconthn and SociAmnct Saicmcn Alqorithms suanests eeeteni Drorect Meaatthr umes durina Its lile: dunng deslan. Dre-Ieunch_ postllurch Woreing thiouah ~cimpjct companies trust OReilly to help their rcnud devclon think itcthe conccamncc ofthmr Moicceand address 4nY Droblems that furn Commun Ftinapics Uthical 0at teams learn the technologies of today_ Preclice Mlch Out ottna Dal Good Exching< (DIGX) prevdes otwalitand Drcinlc Imauhavcorcn gutncicd tnroua cormunty ducuston nc(ed great tantor 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 dunua 4 qonlhuny lcrtallnt Read more yours too. Request a demo for your teams Try it free OReilly Answets Invest in your teams: Protect your bottom line: Mae[a pnople