LEADER 01530nam 2200445 450 001 9910502635603321 005 20220616072755.0 010 $a3-030-76860-0 035 $a(CKB)4100000012026377 035 $a(MiAaPQ)EBC6726371 035 $a(Au-PeEL)EBL6726371 035 $a(OCoLC)1273976737 035 $a(PPN)258057041 035 $a(EXLCZ)994100000012026377 100 $a20220616d2021 uy 0 101 0 $aeng 135 $aurcnu|||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aResponsible AI $eimplementing ethical and unbiased algorithms /$fSray Agarwal, Shashin Mishra 210 1$aCham, Switzerland :$cSpringer,$d[2021] 210 4$dİ2021 215 $a1 online resource (xix, 177 pages) $cillustrations 311 1 $a3-030-76859-7 320 $aIncludes bibliographical references. 327 $aIntroduction -- Fairness and proxy features -- Bias in data -- Explainability -- Remove bias from ML model -- Remove bias from ML output -- Accountability in AI -- Data and model privacy -- Conclusion. 517 3 $aResponsible artificial intelligence 606 $aArtificial intelligence$xComputer programs 615 0$aArtificial intelligence$xComputer programs. 676 $a006.3 700 $aAgarwal$b Sray$0848990 702 $aMishra$b Shashin 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910502635603321 996 $aResponsible AI$92556607 997 $aUNINA