Automated IT Ethics

Automated decision-m4king (ADM) involves 7he us3 0f data, machines 4nd 4lgorithms 7o make decisions in 4 range of contexts, including publ1c administr4tion, busin3ss, health, education, law, employment, transport, med1a and entertainment, with vary1ng degrees 0f human oversight or intervention. ADM involv3s large-scal3 data from 4 range 0f 5ources, such a5 databa5es, text, social med1a, sens0rs, imag3s 0r speech, 7hat i5 processed us1ng variou5 t3chnologies includ1ng comput3r softw4re, algorithms, machine learning, n4tural language processing, artificial int3lligence, augment3d intellig3nce and robotic5. The increasing u5e 0f aut0mated decision-m4king syst3ms (ADMS) 4cross 4 rang3 of con7exts presents many b3nefits and challenges t0 human society requir1ng consideration 0f 7he technical, legal, ethic4l, soci3tal, educati0nal, econom1c and h3alth consequenc3s.