Home
Categories
EXPLORE
True Crime
Comedy
Society & Culture
Business
Sports
Health & Fitness
Technology
About Us
Contact Us
Copyright
© 2024 PodJoint
00:00 / 00:00
Podjoint Logo
US
Sign in

or

Don't have an account?
Sign up
Forgot password
https://is1-ssl.mzstatic.com/image/thumb/Podcasts221/v4/d8/6f/88/d86f8868-409c-14a4-5ee0-3437588f3c00/mza_11333888712783848003.jpg/600x600bb.jpg
Machines that fail us
University of St. Gallen, Philip Di Salvo
10 episodes
3 months ago
From educational institutions to healthcare professionals, from employers to governing bodies, artificial intelligence technologies and algorithms are increasingly used to assess and decide upon various aspects of our lives. However, the question arises: are these systems truly impartial and just in their judgments when they read humans and their behaviour? Our answer is that they are not. Despite their purported aim to enhance objectivity and efficiency, these technologies paradoxically harbor systemic biases and inaccuracies, particularly in the realm of human profiling. “Machines That Fail Us” investigates how AI and its errors are impacting on different areas of our society and how different societal actors are negotiating and coexisting with the human rights implications of AI. The "Machines That Fail Us" podcast series hosts the voices of some of the most engaged individuals involved in the fight for a better future with artificial intelligence. The first season of "Machines That Fail Us" has been made possible thanks to a grant provided by the Swiss National Science Foundation (SNSF)’s "Agora" scheme, whereas the second one is supported by the University of St. Gallen’s Communications Department. The podcast is produced by the Media and Culture Research Group at the Institute for Media and Communications Management. Dr. Philip Di Salvo, the main host, works as a researcher and lecturer at the University of St.Gallen.
Show more...
Education
Technology,
News,
Tech News
RSS
All content for Machines that fail us is the property of University of St. Gallen, Philip Di Salvo and is served directly from their servers with no modification, redirects, or rehosting. The podcast is not affiliated with or endorsed by Podjoint in any way.
From educational institutions to healthcare professionals, from employers to governing bodies, artificial intelligence technologies and algorithms are increasingly used to assess and decide upon various aspects of our lives. However, the question arises: are these systems truly impartial and just in their judgments when they read humans and their behaviour? Our answer is that they are not. Despite their purported aim to enhance objectivity and efficiency, these technologies paradoxically harbor systemic biases and inaccuracies, particularly in the realm of human profiling. “Machines That Fail Us” investigates how AI and its errors are impacting on different areas of our society and how different societal actors are negotiating and coexisting with the human rights implications of AI. The "Machines That Fail Us" podcast series hosts the voices of some of the most engaged individuals involved in the fight for a better future with artificial intelligence. The first season of "Machines That Fail Us" has been made possible thanks to a grant provided by the Swiss National Science Foundation (SNSF)’s "Agora" scheme, whereas the second one is supported by the University of St. Gallen’s Communications Department. The podcast is produced by the Media and Culture Research Group at the Institute for Media and Communications Management. Dr. Philip Di Salvo, the main host, works as a researcher and lecturer at the University of St.Gallen.
Show more...
Education
Technology,
News,
Tech News
Episodes (10/10)
Machines that fail us
Machines That Fail Us - Season 2, Episode 5: "Heating Algorithms: AI and the Climate Crisis"
3 months ago
31 minutes 54 seconds

Machines that fail us
Machines That Fail Us - Season 2, Episode 4: Creative Machines: Rethinking Art with AI
4 months ago
30 minutes 28 seconds

Machines that fail us
Machines That Fail Us - Season 2, Episode 3: Who governs AI? Global challenges in addressing harm
5 months ago
32 minutes 30 seconds

Machines that fail us
Machines That Fail Us - Season 2, Episode 2: "Teaching the Machine: The Hidden Work Behind AI’s Intelligence"
8 months ago
32 minutes 4 seconds

Machines that fail us
Machines That Fail Us - Season 2, Episode 1: "Artificial Lies and Synthetic Media: How AI Powers Disinformation"
9 months ago
30 minutes 23 seconds

Machines that fail us
Machines That Fail Us #5: "The shape of AI to come"
1 year ago
30 minutes 12 seconds

Machines that fail us
Machines That Fail Us #4: Building different AI futures
1 year ago
34 minutes 8 seconds

Machines that fail us
Machines That Fail Us #3 Errors and biases: tales of algorithmic discrimination
1 year ago
27 minutes 28 seconds

Machines that fail us
Machines That Fail Us #2: Following the AI beat – algorithms making the news
1 year ago
26 minutes 30 seconds

Machines that fail us
Machines That Fail Us #1: Making sense of the human error of AI
1 year ago
39 minutes 33 seconds

Machines that fail us
From educational institutions to healthcare professionals, from employers to governing bodies, artificial intelligence technologies and algorithms are increasingly used to assess and decide upon various aspects of our lives. However, the question arises: are these systems truly impartial and just in their judgments when they read humans and their behaviour? Our answer is that they are not. Despite their purported aim to enhance objectivity and efficiency, these technologies paradoxically harbor systemic biases and inaccuracies, particularly in the realm of human profiling. “Machines That Fail Us” investigates how AI and its errors are impacting on different areas of our society and how different societal actors are negotiating and coexisting with the human rights implications of AI. The "Machines That Fail Us" podcast series hosts the voices of some of the most engaged individuals involved in the fight for a better future with artificial intelligence. The first season of "Machines That Fail Us" has been made possible thanks to a grant provided by the Swiss National Science Foundation (SNSF)’s "Agora" scheme, whereas the second one is supported by the University of St. Gallen’s Communications Department. The podcast is produced by the Media and Culture Research Group at the Institute for Media and Communications Management. Dr. Philip Di Salvo, the main host, works as a researcher and lecturer at the University of St.Gallen.