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| + | == Introduction == |
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| + | ==History== |
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− | Machine learning is a powerful tool, and has some form of application in every major industry. While many implementations in industry are still in early stages, signals of impact are already present.
| + | ==References== |
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− | The potential for disruption has made the ethics and regulation of machine learning and AI a heavily focused topic.
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− | Ethical Concerns of AI<Ref>Pazzanese Christina (2020, October 26) "Ethical concerns mount as AI takes bigger decision-making role in more industries". https://news.harvard.edu/gazette/story/2020/10/ethical-concerns-mount-as-ai-takes-bigger-decision-making-role</ref>
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− | A Case for Machine Ethics in Modeling Human-Level Intelligent Agents<Ref> Boyles, Robert James. "A Case for Machine Ethics in Modeling Human-Level Intelligent Agents" (PDF). Kritike. Retrieved 1 November 2019.</ref>
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− | Harvard Business Review <Ref>Reid Blackman (2020, October 15) "A Practical Guide to Building Ethical AI". https://hbr.org/2020/10/a-practical-guide-to-building-ethical-aid</ref>
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− | == References == | + | |
Latest revision as of 19:08, 27 January 2023
Ian Lee's article
see si410_w3_workshop slides
definition
references
neutral point of view
write in the most objective way possible
can be verified (cite everything)
what counts as a reliable source?
published sources with a reputation for fact checking and accuracy
textbooks, books, magazines, newspapers, academic papers, PUBLISHED
Introduction
intro
History
References