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Brianna White

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Jul 30, 2019
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The ethical principles related to artificial intelligence (AI) and machine learning (ML) are fast becoming a critical topic of discussion. These technologies can (and do) confer enormous benefits — helping us use the earth’s resources more judiciously, predicting fraud, preventing identity theft, and more. However, biased data sets, careless misuse, and bad actors can easily turn AI into a weapon with dire consequences.
Fortunately, the Information Technology (IT) industry, non-profit organizations, governments, and academia are increasingly advocating for guidelines to encourage the most ethical use of AI possible. For example, the European Commission’s High-Level Expert Group on Artificial Intelligence has proposed a set of Ethics Guidelines for Trustworthy AI. The Association for the Advancement of Artificial Intelligence published its Code of Professional Ethics and Conduct — an adaptation of the code developed by the Association of Computer Machinery, which bears the same name. As you think about helping your organization develop its own set of principles and policies to enforce an ethical and lawful use of AI, these examples are a suitable place to start. 
Why AI ethics matter
There are many good reasons for your organization to invest the time and energy required to develop a robust code of ethics to guide and regulate the responsible development and use of AI technologies. Here are the four I see as the most critical:
Continue reading: https://octo.vmware.com/why-your-organization-needs-ethical-principles-for-ai/
 

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