LEADER 01520nam 2200445 450 001 9910755095103321 005 20231129230516.0 024 7 $a10.1145/3617694 035 $a(CKB)28728772100041 035 $a(NjHacI)9928728772100041 035 $a(EXLCZ)9928728772100041 100 $a20231129d2023 uy 0 101 0 $aeng 135 $aur||||||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aProceedings of the 3rd ACM Conference on Equity and Access in Algorithms, Mechanisms, and Optimization /$fAbraham Flaxman, Saiph Savage, Adam Smith, SIGAI, SIGecom 210 1$aNew York, NY, USA :$cAssociation for Computing Machinery,$d2023. 215 $a1 online resource (498 pages) 225 0 $aACM Conferences 311 08$a9798400703812 606 $aComputer science 606 $aArtificial intelligence 606 $aMachine learning 615 0$aComputer science. 615 0$aArtificial intelligence. 615 0$aMachine learning. 676 $a004 700 $aFlaxman$b Abraham$01439605 702 $aSavage$b Saiph 702 $aSmith$b Adam 712 02$aSpecial Interest Group on Artificial Intelligence, 712 02$aSpecial Interest Group on Economics and Computation, 801 0$bNjHacI 801 1$bNjHacl 906 $aBOOK 912 $a9910755095103321 996 $aProceedings of the 3rd ACM Conference on Equity and Access in Algorithms, Mechanisms, and Optimization$93601887 997 $aUNINA