When AI gets it wrong

This is a recent example of the risk associated with the increasing capabilities and scalability of artificial intelligence models. Without careful thought, they can easily endanger our society in many ways. In order for these new products to gain the trust and recognition of the users of the system, a clear ethical framework will have to be defined and, as showed above, internal ethical control is probably not the solution.

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OpenAI GPT-3 wrote this article about Webpack

This article was written by OpenAI GPT-3 model, using “davinci” engine, I gave it a small input and this is the final output. Can you tell the difference between this and a human-made article? Obviously the formatting can be improved, and some part are missing but count that, my input was just “webpack is a build tool” and nothing more.

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Five trends to look for in governing data, in 2021, for digital-driven business outcomes

To date, the organizations have focused on formalizing data consumption practices through distribution technology, access-based delivery mechanisms for analytics, and AI functions. However, with data protection laws and positive awareness across the world, firms have extended the formalization to data collection management. This in-fact is the first life-cycle stage of data.

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Facebook takes action on 19.2 million posts of violence using AI

Facebook AI researchers have leveraged advancing technologies and Machine Learning to develop a system with a level of intelligence on par with humans. AI enables and equips Facebook with various tools, including interactive chat modules, chatbots, polls, surveys, and more.

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