What Does an Ethical Approach to A.I. Look Like?

<p>The spirit of innovation is mostly positive. After all, innovation  leaps humanity forward. The wheel enabled transportation, space exploration led to the internet, the smartphone has connected the world.</p><p>These are just some examples.  </p><p>And the innovation wheel keeps turning. These days there is no doubt that  </p><p>For our brief history of breakthrough innovation, we’ve rarely had to discuss or think about the ethics behind those efforts like we do with the next breakthrough; Artificial Intelligence and Machine Learning.</p><p>A.I and Machine learning  are widely considered to be the tools that will leap humanity forward into the future, but there’s a catch...</p><p>… who decides the ethics of AI and ML? Who tells the computer how it should think? What should the computer value? What is ethical? And at what point have we gone too far?</p><p>“This technology is not fully developed, It's not an end state. So we don't know all of the consequences of using this technology.”</p><p>When we think about innovation, we think about all the good that will come from it, and rarely think about the consequences that innovation leaves in its wake. Someone is thinking about that, though, and that someone is <a href="https://www.linkedin.com/in/bammanath">Beena Ammanath</a>. As the Executive Director at Deloitte’s Global A.I. Institute., It’s her job to go through all the “what ifs” of A.I.  </p><p>On this episode of IT Visionaries, Beena explains how she weighs all the outcomes, and she discusses the three paths companies are currently pursuing ethically A.I. .  </p><p>She also talks about why trustworthy A.I. and machine learning will be the secret to all successful technology breakthroughs. Enjoy!</p><p><strong>Main Takeaways</strong></p><ul><li><strong>Can I Trust You?</strong>: Trust must be at the center of all your A.I. models, which means you need a clear understanding of the data sets you are using and if the data you are using to build your algorithms is reliable. When using third party data, make sure