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Help us create external pressure on AI companies and regulators. 

 

This book is what Weapons of Math Destruction would have been if it were written during a pandemic, mRNA vaccinations, a capitol breach, Russian social media PsyOps, AI-hiring, pervasive predictive policing and more.

 

Help us launch this book and educate the public about the impact poorly contrived AI can have. Host a book club or book signing, share social media quizzes, provide a 1-minute interview, sign up to write a rating on Amazon.

Research in Progress

What Should CoRporations
do to ensure responsible ai?
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Corporate AI Ethics Best Practices

A Study in Realities, Risks, and Rewards

There is a big difference in what corporations are talking about and what they are actually doing. There are no standards yet. We are digging into processes, policies, people, and the tools and tech companies are using to get a handle on developing and governing AI responsibly. We are looking at use of internal and external boards as well as the way data science practitioners approach the issues. This ought to be exciting. We will publish the research in Springer Nature's AI and Ethics Journal

Noah Wittman hosts
AI Truth's new podcast
One Great Leap

The Future of AI

  1. Why start AI Truth?

  2. What did you do at IBM? How did you get involved with AI?

  3. One thing to know about modern tech?

  4. Biggest changes how society interacts with tech in next 5-10 yrs?

  5. One thing you'd change about modern tech?

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Cortnie Abercrombie
CEO & Founder, AI Truth

00:00 / 53:16
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Theresa Kushner
AI Consultant at NTT Data, 
fmr SVP Analytics at Dell

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Doug Laney
Author of"Infonomics"

& Principal at Caserta

  1. In 5 years, 50% of Data Science jobs will be automated? How will that work?

  2. What areas should I seek to automate now?

  3. What skills should I look for in Data Scientists?

  4. How will I know I hired a good Data Scientist?

  5. Should they have professional certifications on AI Ethics or AI design?

Listen
Now

  • YouTube

Watch on
YouTube​

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