The 7 Deadly Sins of AI

      Posted by Luis Rodriguez on Apr 11, 2019 in Thought Leadership

      Quoting Andrew Ng, Co-founder of Coursera and Adjunct Professor of Computer Science at Stanford University, ”Artificial intelligence is the new electricity.” 

      However, its use does not come free from electrocution risk and implementation difficulties. Whether you are already using some of these techniques or just thinking about it, you need to be aware of the potential pitfalls

      The potential is enormous, no doubt, but with great power comes great responsibility. Especially in a highly- regulated industry which possesses an enormous amount of data about people’s lives.

      And sorry, but no we are not talking about stopping the rise of robots that may be disastrous for mankind...

      What are these sins? Data availability, data labelling, research failure, bias, explainability, organisational readiness, and indeed ethics.

      All these sins carry different penalties, some are easier to avoid than others, and their impact differs depending on the organisation and its clients, but all can easily derail your thoughts of world domination.

      The article provides you with a roadmap and a moral compass to help you navigate the reality of implementing AI and avoid being swamped by the hype whilst still discovering and unleashing the huge transformational potential of these technologies.

      Let’s look together at the deadly sins of AI and how to avoid them without incurring too much penance.


      If you like what you've read, vote for the full article to be included in the upcoming AI Book !


      Luis Rodriguez
      Luis Rodriguez

      Luis is an expert in the use of Machine Learning and AI in the financial services industry. Besides overseeing major program deliveries, Luis’ role is to identify and develop new client relationships, strategic markets and verticals. He also aligns product design and delivery with customer needs and strategy.

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