Ethical Principles in Artificial Intelligence EPAI

In this episode (the last one of the semester!) we do a Q&A with Chris Mountain, EPAI's project lead for the Bias in Facial Recognition team. We talk about some of the impacts of facial recognition AI technology in the real world along with the socio-ethical ramifications, as well as learning about the kinds of work that the BFR team has done over the semester.

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In this episode we talk about some real-world use cases for AI technologies and the impacts and consequences that accompany them. Looking at some of their strong points as flaws, we also discuss some approaches for working toward developing and designing more ethically conscientious technology.

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In this episode we will discuss the ubiquity of big data in the world today as well as how the data we share with technology and companies is only getting more and more personal.

In addition to this, we talk about how privacy isn’t actually well-defined in law so researchers, ethicists, and companies all use different definitions of privacy in their work.

Finally we explore how algorithms and tech built on the historically biased datasets we’ve amassed are intrinsically biased and how that cycle perpetuates the negative biases of our past into our future.

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We talk about some of the history behind media manipulation and how advancements in technology have led to the development of more and more sophisticated deepfake techniques.

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