372:) which was deployed in the US Court, as well as Amazon’s AI Powered recruitment tool, later proven to favor male over female applicants. Further, AI based decision support (ADS) powered by machine learning techniques is more commonly being integrated across fields including criminal justice, education, and benefits provision. FATE functions as a means to look further into algorithms to raise awareness and work towards a solution. Companies such as Microsoft have created research teams specifically devoted to the topic.
180:
66:
25:
361:(NLP) are increasing. The topic provides an interdisciplinary challenge of bridging the gap of transparency between technical and non technical academics and policy makers to ensure the safety and equity of algorithmic systems as they advance at a rapid rate. Some solutions and techniques that have been discovered include
390:
companies, making them fairer. Additionally, laws about how artificial intelligence (AI) should be managed have been shaped by this research. The conference has also helped guide global discussions about ethical AI, contributing to important guidelines like the
European Union's AI Act and the AI Principles from the OECD.
389:
The research from the ACM FAccT conference has greatly influenced both public rules and how companies operate. Governments and organizations have used ideas from the conference to create guidelines and policies. For example, studies on bias in algorithms have helped change hiring methods at big tech
360:
The acronym FATE refers to
Fairness, Accountability, Transparency, and Ethics in sociotechnical systems. FATE is a topic of rising interest as the societal and ethical implications of complex systems such as artificial intelligence (AI), machine learning (ML), and natural language processing
398:
Although the ACM FAccT conference is well-regarded, it has received some criticism. Some people say that the ideas shared at the conference are often too focused on theory and may not work well for real-world issues. Others have noticed that even though the conference talks about fairness and
1387:
380:
The FAccT Conference 2024 is looking for articles specifically within the following areas: Audits and
Evaluation Practices, System Development and Deployment, Experiences and Interactions, Critical Studies, Law and Policy, and Philosophy.
399:
transparency in AI, the companies that sponsor it don’t always create technology that follows these values. There is also debate about whether the conference can stay truly independent while receiving money from big tech companies.
715:
Laufer, Benjamin; Jain, Sameer; Cooper, A. Feder; Kleinberg, Jon; Heidari, Hoda (2022-06-20). "Four Years of FAccT: A Reflexive, Mixed-Methods
Analysis of Research Contributions, Shortcomings, and Future Prospects".
38:
1442:
44:
244:
142:
1467:
995:
216:
114:
1507:
1482:
223:
121:
1710:
1552:
1527:
230:
128:
1572:
1266:
352:. Sponsors contribute to a general fund (no "earmarked" contributions are allowed) and have no say in the selection, substance, or structure of the conference.
317:
from a multi-disciplinary perspective. The conference community includes computer scientists, statisticians, social scientists, scholars of law, and others.
212:
110:
1567:
1397:
641:
201:
194:
1577:
988:
668:
1598:
1502:
1492:
1452:
1392:
513:
552:
1659:
1447:
1422:
1096:
1012:
1487:
1427:
1382:
505:
237:
135:
90:
of the topic and provide significant coverage of it beyond a mere trivial mention. If notability cannot be shown, the article is likely to be
1477:
1457:
981:
297:(ACM FAccT, formerly known as ACM FAT*) is a peer-reviewed academic conference series about ethics and computing systems. Sponsored by the
1497:
1216:
1070:
1462:
1633:
1311:
1547:
1369:
825:"Fairness, Accountability, Transparency, and Ethics (FATE) in Artificial Intelligence (AI) and higher education: A systematic review"
1417:
1186:
1705:
1512:
1472:
735:
368:
Recent adoptions of AI in both the public and private sector include the predictive recidivism algorithm (otherwise known as
1652:
1537:
1004:
362:
298:
1715:
1517:
424:
419:
314:
281:
263:
161:
52:
1603:
1562:
1542:
1432:
1407:
1231:
1645:
87:
865:
548:
1402:
1211:
414:
306:
1344:
1226:
83:
824:
1324:
1261:
1241:
99:
1221:
302:
190:
1679:
FAccT '21: Proceedings of the 2021 ACM Conference on
Fairness, Accountability, and Transparency
1256:
1251:
460:
337:
1677:
Green, Ben (2021). "The Flaws of
Fairness: Challenges and Critiques in Algorithmic Fairness".
1339:
1297:
614:
891:
345:
76:
8:
1557:
1334:
954:
Binns, Reuben (2021). "Fairness in
Machine Learning: Lessons from Political Philosophy".
759:
1608:
1319:
913:
877:
741:
656:
575:
528:
95:
973:
1246:
1236:
895:
846:
745:
731:
497:
481:
369:
91:
956:
Proceedings of the 2021 ACM Conference on
Fairness, Accountability, and Transparency
783:
1682:
1349:
959:
887:
836:
721:
629:
598:
409:
310:
720:. FAccT '22. Seoul, Korea: Association for Computing Machinery. pp. 401–426.
1359:
664:
349:
341:
841:
718:
Proceedings of the 2022 Conference on
Fairness, Accountability, and Transparency
1629:
1377:
803:
610:
579:
509:
1287:
1699:
899:
850:
695:
637:
606:
567:
532:
485:
1686:
963:
726:
1329:
1201:
1086:
583:
544:
540:
1292:
1282:
1041:
493:
1206:
1176:
1140:
1114:
1109:
1091:
1025:
501:
1437:
1354:
1130:
1020:
673:
646:
619:
588:
557:
518:
471:
179:
1532:
882:
325:
321:
1522:
1171:
1163:
1145:
1060:
914:"FATE: Fairness, Accountability, Transparency & Ethics in AI"
375:
329:
82:
Please help to demonstrate the notability of the topic by citing
1158:
1153:
1135:
1104:
1075:
1065:
1055:
333:
213:"ACM Conference on Fairness, Accountability, and Transparency"
111:"ACM Conference on Fairness, Accountability, and Transparency"
1593:
1125:
1033:
942:
295:
ACM Conference on
Fairness, Accountability, and Transparency
864:
Levy, Karen; Chasalow, Kyla E.; Riley, Sarah (2021-10-13).
714:
1267:
SIAM/ACM Prize in Computational Science and Engineering
1003:
866:"Algorithms and Decision-Making in the Public Sector"
406:For further reading on areas relevant to FATE see:
863:
696:"Association for Computing Machinery Conferences"
1697:
1599:ACM International Collegiate Programming Contest
829:Computers and Education: Artificial Intelligence
1711:Association for Computing Machinery conferences
393:
1628:This article about a computer conference is a
823:Memarian, Bahar; Doleck, Tenzin (2023-01-01).
822:
376:Key Research Areas and Emerging Trends in FATE
1653:
989:
301:, this conference focuses on issues such as
434:Past and future FAccT conferences include:
53:Learn how and when to remove these messages
1660:
1646:
1252:Paris Kanellakis Theory and Practice Award
996:
982:
881:
840:
725:
282:Learn how and when to remove this message
264:Learn how and when to remove this message
162:Learn how and when to remove this message
892:10.1146/annurev-lawsocsci-041221-023808
870:Annual Review of Law and Social Science
384:
1698:
429:
200:Please improve this article by adding
1676:
977:
953:
1623:
336:, and large foundations such as the
173:
59:
18:
1005:Association for Computing Machinery
363:Explainable artificial intelligence
299:Association for Computing Machinery
13:
14:
1727:
934:
425:Ethics of artificial intelligence
420:Artificial intelligence marketing
34:This article has multiple issues.
1604:ACM Student Research Competition
355:
178:
64:
23:
1232:ACM Doctoral Dissertation Award
320:The conference is sponsored by
42:or discuss these issues on the
1670:
906:
857:
816:
804:"ACM FAccT Sponsorship Policy"
796:
776:
752:
708:
688:
1:
681:
202:secondary or tertiary sources
1706:Computer science conferences
1632:. You can help Knowledge by
394:Criticisms and Controversies
307:fairness in machine learning
77:general notability guideline
7:
1212:ACM-AAAI Allen Newell Award
842:10.1016/j.caeai.2023.100152
415:Artificial intelligence art
10:
1732:
1622:
1345:Computers in Entertainment
549:Mariano-Florentino Cuéllar
84:reliable secondary sources
73:The topic of this article
16:Academic conference series
1716:Computer conference stubs
1586:
1368:
1325:Communications of the ACM
1310:
1275:
1262:ACM Software System Award
1242:Grace Murray Hopper Award
1194:
1185:
1011:
784:"ACM FAccT 2020 Sponsors"
760:"2019 ACM FAT conference"
449:Keynote/Invited speakers
75:may not meet Knowledge's
303:algorithmic transparency
1687:10.1145/3442188.3445910
1013:Special Interest Groups
964:10.1145/3442188.3445919
727:10.1145/3531146.3533107
1257:ACM Prize in Computing
1227:Eugene L. Lawler Award
461:Rio de Janeiro, Brazil
338:Rockefeller Foundation
189:relies excessively on
1340:ACM Computing Surveys
1298:Steven A. Coons Award
1217:Athena Lecturer Award
615:Nani Jansen Reventlow
1587:Educational programs
1222:Eckert–Mauchly Award
385:Impact and Influence
346:MacArthur Foundation
1335:ACM Digital Library
430:List of conferences
1609:Upsilon Pi Epsilon
1320:Journal of the ACM
918:Microsoft Research
657:New York, New York
576:Yeshimabeit Milner
529:Seoul, South Korea
324:companies such as
79:
1641:
1640:
1617:
1616:
1306:
1305:
1247:Ken Kennedy Award
1237:Gordon Bell Prize
737:978-1-4503-9352-2
679:
678:
498:Charlotte Burrows
482:Chicago, Illinois
292:
291:
284:
274:
273:
266:
248:
172:
171:
164:
146:
74:
57:
1723:
1691:
1690:
1674:
1662:
1655:
1648:
1624:
1350:ACM Interactions
1192:
1191:
998:
991:
984:
975:
974:
967:
946:
945:
943:Official website
928:
927:
925:
924:
910:
904:
903:
885:
861:
855:
854:
844:
820:
814:
813:
811:
810:
800:
794:
793:
791:
790:
780:
774:
773:
771:
770:
756:
750:
749:
729:
712:
706:
705:
703:
702:
692:
642:Deirdre Mulligan
630:Atlanta, Georgia
599:Barcelona, Spain
437:
436:
410:Algorithmic bias
287:
280:
269:
262:
258:
255:
249:
247:
206:
182:
174:
167:
160:
156:
153:
147:
145:
104:
68:
67:
60:
49:
27:
26:
19:
1731:
1730:
1726:
1725:
1724:
1722:
1721:
1720:
1696:
1695:
1694:
1675:
1671:
1667:
1666:
1620:
1618:
1613:
1582:
1364:
1302:
1271:
1181:
1007:
1002:
971:
952:
941:
940:
937:
932:
931:
922:
920:
912:
911:
907:
862:
858:
821:
817:
808:
806:
802:
801:
797:
788:
786:
782:
781:
777:
768:
766:
758:
757:
753:
738:
713:
709:
700:
698:
694:
693:
689:
684:
669:Deborah Hellman
665:Latanya Sweeney
661:February 23–24
432:
405:
402:
396:
387:
378:
358:
342:Ford Foundation
288:
277:
276:
275:
270:
259:
253:
250:
207:
205:
199:
195:primary sources
183:
168:
157:
151:
148:
105:
103:
81:
69:
65:
28:
24:
17:
12:
11:
5:
1729:
1719:
1718:
1713:
1708:
1693:
1692:
1668:
1665:
1664:
1657:
1650:
1642:
1639:
1638:
1615:
1614:
1612:
1611:
1606:
1601:
1596:
1590:
1588:
1584:
1583:
1581:
1580:
1575:
1570:
1565:
1560:
1555:
1550:
1545:
1540:
1535:
1530:
1525:
1520:
1515:
1510:
1505:
1500:
1495:
1490:
1485:
1480:
1475:
1470:
1465:
1460:
1455:
1450:
1445:
1440:
1435:
1430:
1425:
1420:
1415:
1410:
1405:
1400:
1395:
1390:
1385:
1380:
1374:
1372:
1366:
1365:
1363:
1362:
1357:
1352:
1347:
1342:
1337:
1332:
1327:
1322:
1316:
1314:
1308:
1307:
1304:
1303:
1301:
1300:
1295:
1290:
1285:
1279:
1277:
1273:
1272:
1270:
1269:
1264:
1259:
1254:
1249:
1244:
1239:
1234:
1229:
1224:
1219:
1214:
1209:
1207:ACM Fellowship
1204:
1198:
1196:
1189:
1183:
1182:
1180:
1179:
1174:
1169:
1166:
1161:
1156:
1151:
1148:
1143:
1138:
1133:
1128:
1123:
1120:
1117:
1112:
1107:
1102:
1099:
1094:
1089:
1084:
1081:
1078:
1073:
1068:
1063:
1058:
1053:
1050:
1047:
1044:
1039:
1036:
1031:
1028:
1023:
1017:
1015:
1009:
1008:
1001:
1000:
993:
986:
978:
948:
947:
936:
935:External links
933:
930:
929:
905:
876:(1): 309–334.
856:
815:
795:
775:
751:
736:
707:
686:
685:
683:
680:
677:
676:
671:
662:
659:
654:
650:
649:
644:
635:
634:January 29–31
632:
627:
623:
622:
617:
611:Yochai Benkler
604:
603:January 27–30
601:
596:
592:
591:
586:
580:Katrina Ligett
573:
570:
565:
561:
560:
555:
538:
535:
526:
522:
521:
516:
514:Ziad Obermeyer
510:Alondra Nelson
491:
488:
479:
475:
474:
469:
466:
463:
458:
454:
453:
450:
447:
444:
441:
431:
428:
395:
392:
386:
383:
377:
374:
357:
354:
290:
289:
272:
271:
254:September 2022
186:
184:
177:
170:
169:
152:September 2022
72:
70:
63:
58:
32:
31:
29:
22:
15:
9:
6:
4:
3:
2:
1728:
1717:
1714:
1712:
1709:
1707:
1704:
1703:
1701:
1688:
1684:
1680:
1673:
1669:
1663:
1658:
1656:
1651:
1649:
1644:
1643:
1637:
1635:
1631:
1626:
1625:
1621:
1610:
1607:
1605:
1602:
1600:
1597:
1595:
1592:
1591:
1589:
1585:
1579:
1576:
1574:
1571:
1569:
1566:
1564:
1561:
1559:
1556:
1554:
1551:
1549:
1546:
1544:
1541:
1539:
1536:
1534:
1531:
1529:
1526:
1524:
1521:
1519:
1516:
1514:
1511:
1509:
1506:
1504:
1501:
1499:
1496:
1494:
1491:
1489:
1486:
1484:
1481:
1479:
1476:
1474:
1471:
1469:
1466:
1464:
1461:
1459:
1456:
1454:
1451:
1449:
1446:
1444:
1441:
1439:
1436:
1434:
1431:
1429:
1426:
1424:
1421:
1419:
1416:
1414:
1411:
1409:
1406:
1404:
1401:
1399:
1396:
1394:
1391:
1389:
1386:
1384:
1381:
1379:
1376:
1375:
1373:
1371:
1367:
1361:
1358:
1356:
1353:
1351:
1348:
1346:
1343:
1341:
1338:
1336:
1333:
1331:
1328:
1326:
1323:
1321:
1318:
1317:
1315:
1313:
1309:
1299:
1296:
1294:
1291:
1289:
1286:
1284:
1281:
1280:
1278:
1274:
1268:
1265:
1263:
1260:
1258:
1255:
1253:
1250:
1248:
1245:
1243:
1240:
1238:
1235:
1233:
1230:
1228:
1225:
1223:
1220:
1218:
1215:
1213:
1210:
1208:
1205:
1203:
1200:
1199:
1197:
1193:
1190:
1188:
1184:
1178:
1175:
1173:
1170:
1167:
1165:
1162:
1160:
1157:
1155:
1152:
1149:
1147:
1144:
1142:
1139:
1137:
1134:
1132:
1129:
1127:
1124:
1121:
1118:
1116:
1113:
1111:
1108:
1106:
1103:
1100:
1098:
1095:
1093:
1090:
1088:
1085:
1082:
1079:
1077:
1074:
1072:
1069:
1067:
1064:
1062:
1059:
1057:
1054:
1051:
1048:
1045:
1043:
1040:
1037:
1035:
1032:
1029:
1027:
1024:
1022:
1019:
1018:
1016:
1014:
1010:
1006:
999:
994:
992:
987:
985:
980:
979:
976:
972:
969:
968:</ref>
965:
961:
957:
950:
944:
939:
938:
919:
915:
909:
901:
897:
893:
889:
884:
879:
875:
871:
867:
860:
852:
848:
843:
838:
834:
830:
826:
819:
805:
799:
785:
779:
765:
761:
755:
747:
743:
739:
733:
728:
723:
719:
711:
697:
691:
687:
675:
672:
670:
666:
663:
660:
658:
655:
652:
651:
648:
645:
643:
639:
638:Jon Kleinberg
636:
633:
631:
628:
625:
624:
621:
618:
616:
612:
608:
607:Ayanna Howard
605:
602:
600:
597:
594:
593:
590:
587:
585:
581:
577:
574:
571:
569:
566:
563:
562:
559:
556:
554:
550:
546:
542:
539:
536:
534:
530:
527:
524:
523:
520:
517:
515:
511:
507:
503:
499:
495:
492:
489:
487:
483:
480:
477:
476:
473:
470:
467:
464:
462:
459:
456:
455:
451:
448:
445:
442:
439:
438:
435:
427:
426:
422:
421:
417:
416:
412:
411:
407:
403:
400:
391:
382:
373:
371:
366:
364:
356:FATE Overview
353:
351:
347:
343:
339:
335:
331:
327:
323:
318:
316:
312:
308:
304:
300:
296:
286:
283:
268:
265:
257:
246:
243:
239:
236:
232:
229:
225:
222:
218:
215: –
214:
210:
209:Find sources:
203:
197:
196:
192:
187:This article
185:
181:
176:
175:
166:
163:
155:
144:
141:
137:
134:
130:
127:
123:
120:
116:
113: –
112:
108:
107:Find sources:
101:
97:
93:
89:
85:
78:
71:
62:
61:
56:
54:
47:
46:
41:
40:
35:
30:
21:
20:
1678:
1672:
1634:expanding it
1627:
1619:
1412:
1330:RISKS Digest
1312:Publications
1202:Turing Award
970:
955:
951:
949:
921:. Retrieved
917:
908:
873:
869:
859:
832:
828:
818:
807:. Retrieved
798:
787:. Retrieved
778:
767:. Retrieved
763:
754:
717:
710:
699:. Retrieved
690:
584:Julia Angwin
545:Pascale Fung
541:Cha Meeyoung
506:Moritz Hardt
433:
423:
418:
413:
408:
404:
401:
397:
388:
379:
367:
359:
319:
294:
293:
278:
260:
251:
241:
234:
227:
220:
208:
188:
158:
149:
139:
132:
125:
118:
106:
50:
43:
37:
36:Please help
33:
1681:: 103–115.
1370:Conferences
1293:Knuth Prize
1288:Gödel Prize
1283:CHI Academy
958:: 149–159.
764:www.acm.org
572:March 3–10
553:André Brock
537:June 21–24
494:Payal Arora
490:June 12–15
88:independent
1700:Categories
1168:SIGSPATIAL
1115:SIGMETRICS
923:2023-11-19
883:2106.03673
835:: 100152.
809:2019-02-19
789:2019-02-19
769:2019-02-01
701:2019-03-27
682:References
502:Alex Hanna
224:newspapers
191:references
122:newspapers
96:redirected
39:improve it
1443:Hypertext
1438:Hot Chips
1355:ACM Queue
1131:SIGMOBILE
1021:SIGACCESS
900:1550-3585
851:2666-920X
746:249642305
465:June 3–6
443:Location
86:that are
45:talk page
1533:SIGGRAPH
1360:ACM XRDS
1119:SIGMICRO
1087:SIGGRAPH
350:Luminate
326:Facebook
322:Big Tech
1523:SIGCOMM
1483:MobiCom
1172:SIGUCCS
1164:SIGSOFT
1146:SIGPLAN
1080:SIGecom
1061:SIGCOMM
1042:SIGARCH
674:Website
647:Website
620:Website
589:Website
558:Website
519:Website
472:Website
365:(XAI).
330:Twitter
238:scholar
136:scholar
100:deleted
1558:SPLASH
1528:SIGCSE
1513:RecSys
1448:SenSys
1388:ASPLOS
1378:ACM-MM
1187:Awards
1177:SIGWEB
1159:SIGSIM
1154:SIGSAM
1150:SIGSAC
1141:SIGOPS
1136:SIGMOD
1122:SIGMIS
1110:SIGLOG
1105:SIGKDD
1101:SIGITE
1092:SIGHPC
1083:SIGEVO
1076:SIGDOC
1066:SIGCSE
1056:SIGCHI
1052:SIGCAS
1049:SIGBio
1046:SIGBED
1038:SIGAPP
1030:SIGAda
1026:SIGACT
898:
849:
744:
734:
568:Online
533:online
486:online
370:COMPAS
348:, and
334:Google
332:, and
315:ethics
313:, and
240:
233:
226:
219:
211:
138:
131:
124:
117:
109:
92:merged
1594:ACM-W
1568:TAPIA
1508:PPoPP
1478:MICRO
1468:ISSAC
1423:GECCO
1413:FAccT
1126:SIGMM
1097:SIGIR
1071:SIGDA
1034:SIGAI
878:arXiv
742:S2CID
653:2018
626:2019
595:2020
564:2021
525:2022
478:2023
457:2024
452:Link
446:Date
440:Year
245:JSTOR
231:books
143:JSTOR
129:books
98:, or
1630:stub
1578:VRIC
1573:UIST
1563:STOC
1553:SPAA
1548:SOSP
1543:SODA
1538:SoCG
1503:POPL
1498:PODS
1493:PODC
1488:PLDI
1473:JCDL
1463:ISPD
1458:ISMM
1453:ISCA
1433:HOPL
1418:FCRC
1408:DEBS
1398:CIKM
1383:AIES
1276:SIGs
896:ISSN
847:ISSN
732:ISBN
531:and
484:and
468:TBD
311:bias
217:news
115:news
1683:doi
1428:GHC
1403:DAC
1393:CHI
1195:ACM
960:doi
888:doi
837:doi
722:doi
193:to
1702::
1518:SC
916:.
894:.
886:.
874:17
872:.
868:.
845:.
831:.
827:.
762:.
740:.
730:.
667:,
640:,
613:,
609:,
582:,
578:,
551:,
547:,
543:,
512:,
508:,
504:,
500:,
496:,
344:,
340:,
328:,
309:,
305:,
204:.
94:,
48:.
1689:.
1685::
1661:e
1654:t
1647:v
1636:.
997:e
990:t
983:v
966:.
962::
926:.
902:.
890::
880::
853:.
839::
833:5
812:.
792:.
772:.
748:.
724::
704:.
285:)
279:(
267:)
261:(
256:)
252:(
242:·
235:·
228:·
221:·
198:.
165:)
159:(
154:)
150:(
140:·
133:·
126:·
119:·
102:.
80:.
55:)
51:(
Text is available under the Creative Commons Attribution-ShareAlike License. Additional terms may apply.
