Summary of How We Can Build AI to Help Humans, Not Hurt Us

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“All that we see now is a snapshot in the evolution of artificial intelligence,” says Margaret Mitchell, lead scientist at Google. The potential of the technology is vast, she explains, as are the risks. Thus, Mitchell stresses that technologists must shape AI to understand and complement human experience. getAbstract recommends this overview of the perils and promise of AI to science watchers worried about the implications of machine intelligence.

In this summary, you will learn

  • How biases affect artificial intelligence and
  • Why an immediate open conversation about AI is so important to its evolution.
 

About the Speaker

Margaret Mitchell is a lead scientist working on AI for Google’s Research & Machine Intelligence group.

 

Summary

Show a computer-vision algorithm a photo of a woman and her dog enjoying the beach, and it will see both the woman and the dog. The algorithm can EVEN detect a smile on the woman’s face. Yet, for humans, looking at this picture evokes emotional connections and memories. If computers could understand these human responses and thought processes, machine evolution could complement human experience. 


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