Rethinking risk and compliance for the Age of AI (World Economic Forum)
‘… early experience shows that AI can create new types of risks for businesses. In hiring and credit, AI may amplify historical bias against female and minority background applicants, while in healthcare it may lead to opaque decisions because of its black box problem, to name just a few. These risks are amplified by the inherent complexity of deep learning models which may contain hundreds of millions of parameters.’
Kay Firth-Butterfield and Lofred Madzou via www.weforum.org.
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Research: Students May “Opt Out” Of Online Test Monitoring, With Big Catch (Forbes)
A thought-provoking piece about a topic that will need a lot more cycles before an effective balance can be worked out between the many dimensions, stakeholders opportunities and risks involved.
‘In their paper published this month, University of South Carolina researchers Eren Bilen and Alexander Matros, are uniquely blunt about the threat posed by the dramatic spike in cheating that’s happened during the Covid-19 move to remote learning. … The Bilen/Matros paper is important and interesting because it draws parallels from online chess competitions, where they say cheating has also run rampant recently. The paper uses that chess research to offer a few thought-provoking suggestions for online proctoring.’
Derek Newton via www.forbes.com
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GDPR and Artificial Intelligence – A Conscious Coupling | International Network of Privacy Law Professionals (International Network of Privacy Law Professionals)
‘The European Commission has issued a White Paper in February 2020 for the purpose of setting out policy options on how to achieve the uptake of AI, whilst addressing the risks associated with certain uses of this new technology. Following the Commission’s White Paper, an array of commentaries have been published including the European Data Protection Supervisor’s (“EDPS”) opinion on the aforementioned White Paper. Nevertheless, there doesn’t seem to be an automatic and harmonic definitive consensus in relation to the conciliation between the GDPR and AI technology or in relation to the general regulatory framework for AI, without further work, research and policy proposals.’
Constantinos Andronicou via inplp.com
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