{"id":378,"date":"2019-08-22T07:24:05","date_gmt":"2019-08-22T07:24:05","guid":{"rendered":"https:\/\/metrics.blogg.gu.se\/?p=378"},"modified":"2019-08-22T07:24:05","modified_gmt":"2019-08-22T07:24:05","slug":"ai-ethics-a-programmers-perspective","status":"publish","type":"post","link":"https:\/\/metrics.blogg.gu.se\/?p=378","title":{"rendered":"AI Ethics – a programmer\u2019s perspective"},"content":{"rendered":"\n
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\n\nImage by Tumisu<\/a> from Pixabay<\/a><\/p>\n\n\n\n

I\u2019ve been working with machine learning for a while and observed the discussion about AI and ethics. From the philosophical perspective the discussion is very much problem-oriented; the discussion is about \u201cpaper cuts\u201d from using AI. \n<\/p>\n\n\n\n

I\u2019ve recently looked at the article from SDTimes (sdtimes.org<\/a>) about AI Ethics (https:\/\/sdtimes.com\/ai\/ai-ethics-early-but-formative-days\/<\/a>) and its early days. I\u2019ve also looked at the book behind this article: The big nine by Amy Webb (https:\/\/www.amazon.com\/Big-Nine-Thinking-Machines-Humanity\/dp\/1541773756<\/a>). It seems that the discussion there misses an important point – that AI is based on machine learning algorithms, which are applied statistical methods. <\/p>\n\n\n\n

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This applied nature of AI means that it is algorithms using data to make decisions. For me, as a programmer, this poses an important threat – how can I know what is ethical and what is not ethical if it is not in the data? What does ethics mean in terms of programming – how can I evaluate the ethics?\n<\/p>\n\n\n\n

\u2028I can break it down into a few programming challenges:\n<\/p>\n\n\n\n