85 - Machine Learning and Ethics: The Toronto Declaration Pt. 1

In this episode, we continue discussing "success culture". Does it promote the goal of living a meaningful life, or do those goals come into conflict? What about happiness? Does success and achievement make anyone happy?Toby Napoletano, Hanna Gunn

In this episode, we discuss "success culture". What is success and is it a worthy goal? Or does it monopolize our lives in unhealthy ways?Toby Napoletano, Hanna Gunn

In this episode, we discuss the complaints of artists that machine learning programs are using the works of human artists to mass produce similar kinds of art, and replacing the need for human artists. Can and does AI art have the same aesthetic value as human art? And if the complaints of the artists are justified, on what grounds?Toby Napoletano, Michael Hughes

In this episode, we dig into the Supreme Court's recent decision to overturn Roe v Wade, thereby eliminating a constitutional right to an abortion. There are two main questions at issue: Was the reasoning in Roe sound? And then, separately, should it be overturned? We go over the arguments of the majority and concurring opinions, and also the criticisms of the dissent.Toby Napoletano, Michael Hughes

In this episode, we dig into the Supreme Court's recent decision to overturn Roe v Wade, thereby eliminating a constitutional right to an abortion. There are two main questions at issue: Was the reasoning in Roe sound? And then, separately, should it be overturned? We go over the arguments of the majority and concurring opinions, and also the criticisms of the dissent.Toby Napoletano, Michael Hughes

In today's episode, we discuss whether Google's "Lambda" chat bot is sentient. If not, is it intelligent? Does it have moral standing? What do these terms even mean?Toby Napoletano, Michael Hughes

In this episode, we continue discussing Adam Mastroianni's "Against All Applications" (https://experimentalhistory.substack.com/p/against-all-applications?s=r). What is wrong with the application process, both for hiring and for education, and what are the alternatives?Toby Napoletano. Michael Hughes

In this episode, we discuss Adam Mastroianni's "Against All Applications" (https://experimentalhistory.substack.com/p/against-all-applications?s=r). What is wrong with the application process, both for hiring and for education, and what are the alternatives?Toby Napoletano, Michael Hughes

In this episode, we continue to discuss some of the ethical problems surrounding machine learning technologies, and particular concerns about their discriminatory uses. We use the Toronto Declaration, which applies a human rights framework to machine learning as our starting point. Toby Napoletano, Michael Hughes

In this episode, we discuss some of the ethical problems surrounding machine learning technologies, and particular concerns about their discriminatory uses. We use the Toronto Declaration, which applies a human rights framework to machine learning as our starting point. Toby Napoletano, Michael Hughes