Video lectures and materials from AI ethics course (English) at Goethe University (German National, Frankfurt), 2020
Compared to others, our principles lean toward human freedom and libertarianism, and they are more streamlined. Small differences.
Global AI - Boston, Conference, 2019
Panel Discussion, ReWork AI Insurance Summit, New York City, 2019. Theoretical Physicist Michael Natusch, Lawyer James Sherer, and Philosopher James Brusseau consider technical, legal, and human dilemmas of big data insurance.
Mark Zuckerberg states, “You have one identity. The days of you having a different image for your work friends or co-workers and for the other people you know are coming to an end. Having two identities for yourself is an example of a lack of integrity.” This presentation shows why social media and big data platforms tend to create integrated identities. Then, on the ethical level and against Zuckerberg, two real-world strategies for escaping the integration are developed.
Paper delivered at
Society for Business Ethics, Boston, 2019
Capture is sound and deck only.
Deck
Program
What is human experience after the end of privacy? What conveniences and pleasures remain, and what do we need to surrender to receive them? These fundamental questions rise at the intersection of AI, big data, and contemporary humanism, and they are explored from a philosophical ethics perspective within Nozick’s experience machine thought experiment.
James Brusseau
Ai4 - R,
New York City, 2019
Deck
Kant, politeness, social robots and moral behavior.
Bruno Gransche
CEPE 2019
Norfolk, Virginia, USA
Deck
A recent burst of publications concerning the ethical principles for approaching big data and ai are gathered here.
Principles:
Today’s ethics of privacy is largely dedicated to defending personal information from big data technologies. This essay goes in the other direction; it considers the struggle to be lost, and explores two strategies for living after privacy is gone.
Essay
Privacy defined from a philosophical and ethical perspective within a big data context.
What does it mean to be someone when social media platforms and corporate predictive analytics know our personal information better than we know ourselves?
Essay
Conference at Old Dominion University, Norfolk, VA.
Program
Proceedings
Rahul Telang, Co-Director, Carnegie Mellon University Initiative for Digital Entertainment Analytics summarizes his example of Netflix and big data.
View
