电子隐私信息中心：2023年生成式人工智能的影响与未来之路（英文版）（86页）.pdf

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1、MA Y 2 0 2 3G e n e r a t i v e A I s I mp a c t&P a t h s F o r wa r d CONTRIBUTIONS BY Grant Fergusson Caitriona Fitzgerald Chris Frascella Megan Iorio Tom McBrien Calli Schroeder Ben Winters Enid Zhou EDITED BY Grant Fergusson,Calli Schroeder,Ben Winters,and Enid Zhou Thank you to Sarah Myers Wes

2、t and Katharina Kopp for your generous comments on an earlier draft of the paper.Notes on this Paper:This is version 1 of this paper and is reflective of documented and anticipated harms of Generative AI as of May 15,2023.Due to the fast-changing pace of development,use,and harms of Generative AI,we

3、 want to acknowledge that this is an inherently dynamic paper,subject to changes in the future.Throughout this paper,we use a standard format to explain the typology of harms that generative AI can produce.Each section first explains relevant background information and potential risks imposed by gen

4、erative AI,then highlights specifics harms and interventions that scholars and regulators have pursued to remedy each harm.This paper draws on two taxonomies of A.I.harms to guide our analysis:1.Danielle Citrons and Daniel Soloves Typology of Privacy Harms,comprising physical,economic,reputational,p

5、sychological,autonomy,discrimination,and relationship harms;1 and 2.Joy Buolamwinis Taxonomy of Algorithmic Harms,comprising loss of opportunity,economic loss,and social stigmatization,including loss of liberty,increased surveillance,stereotype reinforcement,and other dignitary harms.2 These taxonom

6、ies do not necessarily cover all potential AI harms,and our use of these taxonomies is meant to help readers visualize and contextualize AI harms without limiting the types and variety of AI harms that readers consider.Table of Contents Introduction.i Turbocharging Information Manipulation.1 Harassm