Podcast thumbnail for Ethical Principles in Artificial Intelligence

Ethical Principles in Artificial Intelligence

Claim This Podcast

by EPAI

4 episodes
Updated Daily
Accepts GuestsHas SponsorsLocation 🇨🇦

Podcast Overview

A podcast produced by the University of Toronto's student-led Ethical Principles in Artificial Intelligence club (EPAI) to explore, well, just that!

Language

🇺🇲

Publishing Since

12/1/2021

1 verified contact email on file for Ethical Principles in Artificial Intelligence

Pitch yourself as a guest, propose sponsorships, or reach out directly to the host.

Recent Episodes

Episode thumbnail for 04| Topics and Technology Behind Bias in Facial Recognition: Q&A

April 1, 2022

04| Topics and Technology Behind Bias in Facial Recognition: Q&A

<p>In this episode (the last one of the semester!) we do a Q&amp;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.</p> <p>Check us out! At: https://linktr.ee/uoft_epai</p>

Episode thumbnail for 03| Applications and Impacts of AI: Endangered Languages, Recommendation Systems, and Job Automation

March 1, 2022

03| Applications and Impacts of AI: Endangered Languages, Recommendation Systems, and Job Automation

<p>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.</p> <p>Check us out! At: https://linktr.ee/uoft_epai</p>

Episode thumbnail for 02| Modern Data: Security, Privacy, and Ethical Questions

February 1, 2022

02| Modern Data: Security, Privacy, and Ethical Questions

<p>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.</p> <p>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.</p> <p>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.</p> <p>Check us out! At: https://linktr.ee/uoft_epai</p>

4 total episodes available

Deep-dive analytics for Ethical Principles in Artificial Intelligence

Frequently asked questions

Have a different question and can't find the answer you're looking for? Reach out to our support team by sending us an email and we'll get back to you as soon as we can.

What is Ethical Principles in Artificial Intelligence?

A podcast produced by the University of Toronto's student-led Ethical Principles in Artificial Intelligence club (EPAI) to explore, well, just that!

How often does this podcast release new episodes?

This podcast updates daily.

Where can I listen to this podcast?

This podcast is available on 4 platforms including Apple Podcasts, Spotify, and more. You can also use the RSS feed directly.

Does this podcast accept guests?

Yes, this podcast regularly features guests.

Legal Disclaimer

Pod Engine is not affiliated with, endorsed by, or officially connected with any of the podcasts displayed on this platform. We operate independently as a podcast discovery and analytics service.

All podcast artwork, thumbnails, and content displayed on this page are the property of their respective owners and are protected by applicable copyright laws. This includes, but is not limited to, podcast cover art, episode artwork, show descriptions, episode titles, transcripts, audio snippets, and any other content originating from the podcast creators or their licensors.

We display this content under fair use principles and/or implied license for the purpose of podcast discovery, information, and commentary. We make no claim of ownership over any podcast content, artwork, or related materials shown on this platform. All trademarks, service marks, and trade names are the property of their respective owners.

While we strive to ensure all content usage is properly authorized, if you are a rights holder and believe your content is being used inappropriately or without proper authorization, please contact us immediately at hey@podengine.ai for prompt review and appropriate action, which may include content removal or proper attribution.

By accessing and using this platform, you acknowledge and agree to respect all applicable copyright laws and intellectual property rights of content owners. Any unauthorized reproduction, distribution, or commercial use of the content displayed on this platform is strictly prohibited.