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[…] s. T he re is an em erg in g co nse nsu s on what ch ara cte riz e s AI ag ents : ● Auto n om y and adapta bilit y : Use rs may pro vid e an ag ent wit h th e ta sk th e y […]

[…] excluding people of color Insurance & Social Benefit Determination Differential Access to Insurance & Benefits E.g. Algorithm sets higher premiums or rates for people of colorE.g. Increasing auto insurance prices for night-shift workers Housing Discrimination Differential Access to Housing E.g. Landlord relies on tool that makes housing determination made in whole or in part […]

[…] excluding people of color Insurance & Social Benefit Determination Differential Access to Insurance & Benefits E.g. Algorithm sets higher premiums or rates for people of colorE.g. Increasing auto insurance prices for night-shift workers Housing Discrimination Differential Access to Housing E.g. Landlord relies on tool that makes housing determination made in whole or in part […]

[…] excluding people of color Insurance & Social Benefit Determination Differential Access to Insurance & Benefits E.g. Algorithm sets higher premiums or rates for people of colorE.g. Increasing auto insurance prices for night-shift workers Housing Discrimination Differential Access to Housing E.g. Landlord relies on tool that makes housing determination made in whole or in part […]

[…] excluding people of color Insurance & Social Benefit Determination Differential Access to Insurance & Benefits E.g. Algorithm sets higher premiums or rates for people of colorE.g. Increasing auto insurance prices for night-shift workers Housing Discrimination Differential Access to Housing E.g. Landlord relies on tool that makes housing determination made in whole or in part […]

[…] 2 -1 3 -7 2 a-1 0 1(9 )). E ff ectiv e D ate S B 332 w ould dela y th e AIP A ’s auto m atic re p ea l date f r o m May 20 25 to Ju ly 20 27, pro vid in g tw o addit […]

[…] re so urc e s an d to ols ne ed ed to cra ft e ff ectiv e re g ula tio n. 1 I . Auto m ate d Decis io n m akin g Te ch nolo g y T he Calif o rn ia Priv a cy Pro te ctio […]

[…] is it then? Should Facebook have employed policy-directed technologies or should its content algorithm have remained policy-neutral? This article examines the potential for bias and discrimination in automated algorithmic decision-making. As a group of commentators recently asserted, “he accountability mechanisms and legal standards that govern such decision processes have not kept pace with technology.” […]

[…] sense, for example, it can include systems that rely on fixed rules and logic to produce consistent and predictable outcomes on a person’s behalf, such as email auto-replies or privacy preferences. More recently, however, the technologies that several companies have unveiled are AI systems, typically enabled by advances in LLMs and machine and deep […]