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DESCRIPTION:Click for Latest Location Information: http://dgiq2024east.data
 versity.net/sessionPop.cfm?confid=162&proposalid=15682\nThere is currently 
 a lot of talk a lot about AI ethics; the topic is large and multifacted and
  the current discourse is fragmented. Ethical issues are intristically
  intertwined with similar challenges around information governance and trus
 t. And although "AI" is used to describe a large category of mach
 ine-enabled automation, the rapid rise and adoption of Generative AI techno
 logies has generated some urgency around ethical considerations.\nSuch ethi
 cal considerations around AI include or intersect with issues of accuracy, 
 misinformation, environmental concerns, bias, and reputational risk (a
 mong others). Is there a way to try to make sense of all of these issues? I
 n business and societal contexts, what are the risks involved? Can we use e
 xisting ethical frameworks to help us grapple with ethics in AI?\nWhile oth
 er ethical frameworks (like deontology) consider ethical questions to 
 be decided according to a set of principles (and regardless of outcome)--an
  relevent example here  could be "automatiion is good"--cons
 equentialism (as the name implies) considers the outcomes of acti
 ons to be the determining factor when making ethical judgements.\nNarrowing
  down the discussion (from the world of AI ethics writ large) to the q
 uestion :"what are the ethical risks involved in deploying GenAI at sc
 ale?" and drawing on the framework of consequentialist ethics allows a
  more focused examimation of the risks and implications involved.\nIn this 
 talk I will:\n\n	Briefly examine a few ethical frameworks\n
 Propose consequentialist ethics as a good fit for the discussion of GenAI\n
 Examine ethical risks involved in deployment at scale\n
 Suggest ethical and low-risk ways forward\n\n
DTSTART:20241210T164500
SUMMARY:Consequentialist Ethics of Generative AI
DTEND:20241210T172959
LOCATION: See Description
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