Interviews with mathematics education researchers about recent studies. Hosted by Samuel Otten, University of Missouri. www.mathedpodcast.com Produced by Fibre Studios
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AI Ethics: Algorithms Go To College
Manage episode 495797013 series 1358022
Content provided by Breaking Math and Autumn Phaneuf. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Breaking Math and Autumn Phaneuf or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://podcastplayer.com/legal.
In this episode of Breaking Math, Autumn explores the complex world of AI ethics, focusing on its implications in education, the accuracy of AI systems, the biases inherent in algorithms, and the challenges of data privacy. The discussion emphasizes the importance of ethical considerations in mathematics and computer science, advocating for transparency and accountability in AI systems. Autumn also highlights the role of mathematicians in addressing these ethical dilemmas and the need for society to engage critically with AI technologies.
Takeaways
- AI systems can misinterpret student behavior, leading to false accusations.
- Bias in AI reflects historical prejudices encoded in data.
- Predictive analytics can help identify at-risk students but may alter their outcomes.
- Anonymization of data is often ineffective in protecting privacy.
- Differential privacy offers a way to share data while safeguarding individual identities.
- Ethics should be a core component of algorithm design.
- The impact of biased algorithms can accumulate over time.
- Mathematicians must understand both technical and human aspects of AI.
- Society must question the values embedded in AI systems.
- Small changes in initial conditions can lead to vastly different outcomes.
Chapters
- 00:00 Introduction to AI Ethics
- 02:14 The Accuracy and Implications of AI in Education
- 04:14 Bias in AI and Its Consequences
- 05:45 Data Privacy Challenges in AI
- 06:37 Mathematical Solutions for Ethical AI
- 08:04 The Role of Mathematicians in AI Ethics
- 09:42 The Future of AI and Ethical Considerations
Subscribe to Breaking Math wherever you get your podcasts.
Become a patron of Breaking Math for as little as a buck a month
Follow Breaking Math on Twitter, Instagram, LinkedIn, Website, YouTube, TikTok
Follow Autumn on Twitter and Instagram
Become a guest here
email: [email protected]
174 episodes
Share
Manage episode 495797013 series 1358022
Content provided by Breaking Math and Autumn Phaneuf. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Breaking Math and Autumn Phaneuf or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://podcastplayer.com/legal.
In this episode of Breaking Math, Autumn explores the complex world of AI ethics, focusing on its implications in education, the accuracy of AI systems, the biases inherent in algorithms, and the challenges of data privacy. The discussion emphasizes the importance of ethical considerations in mathematics and computer science, advocating for transparency and accountability in AI systems. Autumn also highlights the role of mathematicians in addressing these ethical dilemmas and the need for society to engage critically with AI technologies.
Takeaways
- AI systems can misinterpret student behavior, leading to false accusations.
- Bias in AI reflects historical prejudices encoded in data.
- Predictive analytics can help identify at-risk students but may alter their outcomes.
- Anonymization of data is often ineffective in protecting privacy.
- Differential privacy offers a way to share data while safeguarding individual identities.
- Ethics should be a core component of algorithm design.
- The impact of biased algorithms can accumulate over time.
- Mathematicians must understand both technical and human aspects of AI.
- Society must question the values embedded in AI systems.
- Small changes in initial conditions can lead to vastly different outcomes.
Chapters
- 00:00 Introduction to AI Ethics
- 02:14 The Accuracy and Implications of AI in Education
- 04:14 Bias in AI and Its Consequences
- 05:45 Data Privacy Challenges in AI
- 06:37 Mathematical Solutions for Ethical AI
- 08:04 The Role of Mathematicians in AI Ethics
- 09:42 The Future of AI and Ethical Considerations
Subscribe to Breaking Math wherever you get your podcasts.
Become a patron of Breaking Math for as little as a buck a month
Follow Breaking Math on Twitter, Instagram, LinkedIn, Website, YouTube, TikTok
Follow Autumn on Twitter and Instagram
Become a guest here
email: [email protected]
174 episodes
All episodes
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Similar to Breaking Math Podcast
Interviews with mathematics education researchers about recent studies. Hosted by Samuel Otten, University of Missouri. www.mathedpodcast.com Produced by Fibre Studios
…
continue reading
Flash Forward is a show about possible (and not so possible) future scenarios. What would the warranty on a sex robot look like? How would diplomacy work if we couldn’t lie? Could there ever be a fecal transplant black market? (Complicated, it wouldn’t, and yes, respectively, in case you’re curious.) Hosted and produced by award winning science journalist Rose Eveleth, each episode combines audio drama and journalism to go deep on potential tomorrows, and uncovers what those futures might re ...
…
continue reading
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…
continue reading
Whether the topic is popcorn or particle physics, you can count on BrainStuff to explore -- and explain -- the everyday science in the world around us.
…
continue reading
The Spoken History of a Global Language
…
continue reading
We humans could have a bright future ahead of us that lasts billions of years. But we have to survive the next 200 years first. Join Josh Clark of Stuff You Should Know for a 10-episode deep dive that explores the future of humanity and finds dangers we have never encountered before lurking just ahead. And if we humans are alone in the universe, if we don't survive intelligent life dies out with us too.
…
continue reading
Embedded is the show for people who love gadgets. Making them, breaking them, and everything in between. Weekly interviews with engineers, educators, and enthusiasts. Find the show, blog, and more at embedded.fm.
…
continue reading
In each episode, we talk with inspiring scientists, thinkers, and other self-actualized individuals who will give you a greater understanding of yourself, others, and the world we live in. Scott Barry Kaufman explores the depths of human potential and tries to get a glimpse into human possibility in every episode.
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Scientists Daniel and Kelly cannot stop talking about our amazing, wonderful, weird Universe! Each episode is a fun, easy-to-understand, and in-depth explanation of topics in science, from particles to black holes to moon colonies to ecosystems to parasites and everything else in the Universe!
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