abusesaffiliationarrow-downarrow-leftarrow-rightarrow-upattack-typeburgerchevron-downchevron-leftchevron-rightchevron-upClock iconclosedeletedevelopment-povertydiscriminationdollardownloademailenvironmentexternal-linkfacebookfiltergenderglobegroupshealthC4067174-3DD9-4B9E-AD64-284FDAAE6338@1xinformation-outlineinformationinstagraminvestment-trade-globalisationissueslabourlanguagesShapeCombined Shapeline, chart, up, arrow, graphLinkedInlocationmap-pinminusnewsorganisationotheroverviewpluspreviewArtboard 185profilerefreshIconnewssearchsecurityPathStock downStock steadyStock uptagticktooltiptwitteruniversalityweb
Article

6 Dec 2017

Author:
Dunstan Allison-Hope, BSR

Commentary: How can we ensure access to remedy when decisions are made by machines?

"Remedy against the machine," 6 December 2017

By vastly improving our analytical capability, artificial intelligence (AI) has the potential to address some of humanity’s most pressing challenges, including those relating to healthcare, education, transportation, counter-terrorism, and criminal justice. However, as we have noted in our new primer on top human rights priorities for the ICT industry, AI brings with it new and previously unforeseen human rights risks on topics as diverse as non-discrimination, privacy, child rights, freedom of expression, and access to public services...

...[W]e should consider access to remedy through the lens of the rightsholder. AI is extremely complex, and only a very small number of people in the world know how it works. If AI is to fulfil its potential while mitigating accompanying risks, it is essential that civil society, rightsholders, and vulnerable populations benefit from channels to participate meaningfully in discussions about its application and have access to remedy. The professional communities engaged in the development of AI would benefit from a deep understanding of ethics issues and rightsholder perspectives... [T]here is a need to assess whether the access to remedy being developed in the context of AI meets the remedy effectiveness criteria set out in the UNGPs. [refers to Google & Microsoft]

Timeline