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Ethical AI and the importance of guidelines for algorithms -- explained – Ranzware Tech NEWS

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In October, Amazon had to discontinue an artificial intelligence–powered recruiting tool after it discovered the system was biased against female applicants. In 2016, a ProPublica investigation revealed a recidivism assessment tool that used machine learning was biased against black defendants. More recently, the US Department of Housing and Urban Development sued Facebook because its ad-serving algorithms enabled advertisers to discriminate based on characteristics like gender and race. And Google refrained from renewing its AI contract with the Department of Defense after employees raised ethical concerns. Those are just a few of the many ethical controversies surrounding artificial intelligence algorithms in the past few years.


Here are the 7 requirements for building ethical AI, according to the EU commission

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In October, Amazon had to discontinue an artificial intelligence–powered recruiting tool after it discovered the system was biased against female applicants. In 2016, a ProPublica investigation revealed a recidivism assessment tool that used machine learning was biased against black defendants. More recently, the US Department of Housing and Urban Development sued Facebook because its ad-serving algorithms enabled advertisers to discriminate based on characteristics like gender and race. And Google refrained from renewing its AI contract with the Department of Defense after employees raised ethical concerns. Those are just a few of the many ethical controversies surrounding artificial intelligence algorithms in the past few years.



The Big Data Challenge - Shaping AI: Recommendations By Virginia Dignum - Big Data Value

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Virginia Dignum is professor at the Department of Computing Science at Umea University in Sweden. She is also member of, among others, the European Commission High Level Expert Group on AI, the World Economic Forum Council on AI, the IEEE Global Initiative on Ethically Aligned Design of Autonomous and Intelligent Systems and the European Global Forum on AI (AI4People). She has written a series of blogs for the website Medium.com, on which the content of this blogpost is based. You can find the hyperlinks to her blogs at the bottom of this page. Facing the challenge of bringing together many views from different disciplines on what AI exactly entails, Virginia's definition of AI offers an overarching perspective: "(…) AI is the discipline of developing computer systems that are able of perceiving their environment, with the ability to deliberate how to best act in order to achieve its own goals, while taking into account that the environment contains other actors similar to itself."


Teaching AI, Ethics, Law and Policy

arXiv.org Artificial Intelligence

The cyberspace and the development of new technologies, especially intelligent systems using artificial intelligence, present enormous challenges to computer professionals, data scientists, managers and policy makers. There is a need to address professional responsibility, ethical, legal, societal, and policy issues. This paper presents problems and issues relevant to computer professionals and decision makers and suggests a curriculum for a course on ethics, law and policy. Such a course will create awareness of the ethics issues involved in building and using software and artificial intelligence.