irResponsible AI

About irResponsible AI

Welcome to irResponsible AI —a series where you find out how NOT to end up on the New York Times headlines for all the wrong reasons! 💡 Why are we doing this? As experts, we are tired of the boring “mainstream corporate” RAI communication. Here, we give it to you straight. ⁉️ Why call it Irresponsible AI? Responsible AI exists because of irresponsible AI. Knowing what NOT to do can be, at times, more actionable than knowing what to do. 🎙️Who are your hosts? Why should you even bother to listen? Upol Ehsan makes AI systems explainable & responsible so that people who aren’t at the table don’t end up on the menu. He is currently at Georgia Tech and had past lives at {Google, IBM, Microsoft} Research. Shea Brown is an astrophysicist turned AI auditor, working to ensure companies protect ordinary people from the dangers of AI. He’s the Founder and CEO of BABL AI, an AI auditing firm. All opinions expressed here are the hosts’ personal opinions. Follow for more Responsible AI: Upol: https://twitter.com/UpolEhsan Shea: https://www.linkedin.com/in/shea-brown-26050465/

Publisher

Upol Ehsan, Shea Brown

Category

technology

Language

en

Explicit

No

First episode

4 Jun 2024

Latest episode

29 Jul 2024

Latest episodes

7 episodes in the feed.

1. 

   29 Jul 2024

   🔥 Generative AI Use Cases: What's Legit and What's Not? | irResponsible AI EP6S01

   Got questions or comments or topics you want us to cover? Text us! (https://www.buzzsprout.com/twilio/text_messages/2304358/open_sms) In this episode of irResponsible AI, we discuss ✅ GenAI is cool, but  do you really need it for your use case? ✅ How can companies end up doing irresponsible AI by using GenAI for the wrong use cases? ✅ How may we get out of this problem? What can you do? 🎯 Two simple things: like and subscribe. You have no idea how much it will annoy the wrong people if this series gains traction. 🎙️Who are your hosts and why should you even bother to listen? Upol Ehsan makes AI systems explainable and responsible so that people who aren’t at the table don’t end up on the menu. He is currently at Georgia Tech and had past lives at {Google, IBM, Microsoft} Research. His work pioneered the field of Human-centered Explainable AI. Shea Brown is an astrophysicist turned AI auditor, working to ensure companies protect ordinary people from the dangers of AI. He’s the Founder and CEO of BABL AI, an AI auditing firm. All opinions expressed here are strictly the hosts’ personal opinions and do not represent their employers' perspectives. Follow us for more Responsible AI and the occasional sh*tposting: Upol: https://twitter.com/UpolEhsan Shea: https://www.linkedin.com/in/shea-brown-26050465/ CHAPTERS: 00:00 - Introduction 01:28 - Misuse of Generative AI 02:27 - Glue example of google gen AI 03:18 - The Challenge of Public Trust and Misinformation 03:45 - Why is this a serious problem? 04:49 - Why should businesses need to worry about it? 05:32 - Auditing Generative AI Systems and Liability Risks 07:18 - Why is this GenAI hype happening? 09:20 - Competitive Pressure and Funding Influence 14:29 - How to avoid failure: investing in Problem Understanding 14:48 - Good use cases of GenAI 17:05 - LLMs are only useful if you know the answer 17:30 - Text-based based video editing as a good example 21:40 - Need for GenAI literacy amongst tech execs 23:30 - Takeaways #ResponsibleAI #ExplainableAI #podcasts #aiethics Support the Show. (https://www.buzzsprout.com/2304358/support) What can you do? 🎯 You have no idea how much it will annoy the wrong people if this series goes viral. So help the algorithm do the work for you! Follow us for more Responsible AI: Upol: https://twitter.com/UpolEhsan Shea: https://www.linkedin.com/in/shea-brown-26050465/

2. 

   29 Jul 2024

   🔥 Do you REALLY need Generative AI for that? | irResponsible AI EP6S01

   Got questions or comments or topics you want us to cover? Text us! (https://www.buzzsprout.com/twilio/text_messages/2304358/open_sms) In this episode of irResponsible AI, we discuss ✅ GenAI is cool, but  do you really need it for your use case? ✅ How can companies end up doing irresponsible AI by using GenAI for the wrong use cases? ✅ How may we get out of this problem? What can you do? 🎯 Two simple things: like and subscribe. You have no idea how much it will annoy the wrong people if this series gains traction. 🎙️Who are your hosts and why should you even bother to listen? Upol Ehsan makes AI systems explainable and responsible so that people who aren’t at the table don’t end up on the menu. He is currently at Georgia Tech and had past lives at {Google, IBM, Microsoft} Research. His work pioneered the field of Human-centered Explainable AI. Shea Brown is an astrophysicist turned AI auditor, working to ensure companies protect ordinary people from the dangers of AI. He’s the Founder and CEO of BABL AI, an AI auditing firm. All opinions expressed here are strictly the hosts’ personal opinions and do not represent their employers' perspectives. Follow us for more Responsible AI and the occasional sh*tposting: Upol: https://twitter.com/UpolEhsan Shea: https://www.linkedin.com/in/shea-brown-26050465/ CHAPTERS: 00:00 - Introduction 01:28 - Misuse of Generative AI 02:27 - Glue example of google gen AI 03:18 - The Challenge of Public Trust and Misinformation 03:45 - Why is this a serious problem? 04:49 - Why should businesses need to worry about it? 05:32 - Auditing Generative AI Systems and Liability Risks 07:18 - Why is this GenAI hype happening? 09:20 - Competitive Pressure and Funding Influence 14:29 - How to avoid failure: investing in Problem Understanding 14:48 - Good use cases of GenAI 17:05 - LLMs are only useful if you know the answer 17:30 - Text-based based video editing as a good example 21:40 - Need for GenAI literacy amongst tech execs 23:30 - Takeaways #ResponsibleAI #ExplainableAI #podcasts #aiethics Support the Show. (https://www.buzzsprout.com/2304358/support) What can you do? 🎯 You have no idea how much it will annoy the wrong people if this series goes viral. So help the algorithm do the work for you! Follow us for more Responsible AI: Upol: https://twitter.com/UpolEhsan Shea: https://www.linkedin.com/in/shea-brown-26050465/

3. 

   4 Jun 2024

   🎯 Outsider's Guide to AI Risk Management Frameworks: NIST Generative AI | irResponsible AI EP5S01

   Got questions or comments or topics you want us to cover? Text us! (https://www.buzzsprout.com/twilio/text_messages/2304358/open_sms) In this episode we discuss AI Risk Management Frameworks (RMFs) focusing on NIST's Generative AI profile: ✅ Demystify misunderstandings about AI RMFs: what they are for, what they are not for ✅ Unpack challenges of evaluating AI frameworks ✅ Inert knowledge in frameworks need to be activated through processes and user-centered design to bridge the gap between theory and practice. What can you do? 🎯 Two simple things: like and subscribe. You have no idea how much it will annoy the wrong people if this series gains traction. 🎙️Who are your hosts and why should you even bother to listen? Upol Ehsan makes AI systems explainable and responsible so that people who aren’t at the table don’t end up on the menu. He is currently at Georgia Tech and had past lives at {Google, IBM, Microsoft} Research. His work pioneered the field of Human-centered Explainable AI. Shea Brown is an astrophysicist turned AI auditor, working to ensure companies protect ordinary people from the dangers of AI. He’s the Founder and CEO of BABL AI, an AI auditing firm. All opinions expressed here are strictly the hosts’ personal opinions and do not represent their employers' perspectives. Follow us for more Responsible AI and the occasional sh*tposting: Upol: https://twitter.com/UpolEhsan Shea: https://www.linkedin.com/in/shea-brown-26050465/ CHAPTERS: 00:00 - What will we discuss in this episode? 01:22 - What are AI Risk Management Frameworks 03:03 - Understanding NIST's Generative AI Profile 04:00 - What's the difference between NIST's AI RMF vs GenAI Profile? 08:38 - What are other equivalent AI RMFs? 10:00- How we engage with AI Risk Management Frameworks? 14:28 - Evaluating the Effectiveness of Frameworks 17:20 - Challenges of Framework Evaluation 21:05 - Evaluation Metrics are NOT always quantitative 22:32 - Frameworks are inert-- they need to be activated 24:40 - The Gap of Implementing a Framework in Practice 26:45 - User-centered Design solutions to address the gap 28:36 - Consensus-based framework creation is a chaotic process 30:40 - Tip for small businesses to amplify profile in RAI 31:30 - Takeaways #ResponsibleAI #ExplainableAI #podcasts #aiethics Support the Show. (https://www.buzzsprout.com/2304358/support) What can you do? 🎯 You have no idea how much it will annoy the wrong people if this series goes viral. So help the algorithm do the work for you! Follow us for more Responsible AI: Upol: https://twitter.com/UpolEhsan Shea: https://www.linkedin.com/in/shea-brown-26050465/

4. 

   4 Jun 2024

   🌶️ Cutting through the Responsible AI hype: how to enter the field | irResponsible AI EP2S01

   Got questions or comments or topics you want us to cover? Text us! (https://www.buzzsprout.com/twilio/text_messages/2304358/open_sms) It gets spicy in this episode of irResponsible AI: ✅ Cutting through the Responsible AI hype to separate experts from "AI influencers" (grifters) ✅ How you can you break into Responsible AI consulting ✅ How the EU AI Act discourages irresponsible AI ✅ How we can nurture a "cohesively diverse" Responsible AI community What can you do? 🎯 Two simple things: like and subscribe. You have no idea how much it will annoy the wrong people if this series gains traction. 🎙️Who are your hosts and why should you even bother to listen? Upol Ehsan makes AI systems explainable and responsible so that people who aren’t at the table don’t end up on the menu. He is currently at Georgia Tech and had past lives at {Google, IBM, Microsoft} Research. His work pioneered the field of Human-centered Explainable AI. Shea Brown is an astrophysicist turned AI auditor, working to ensure companies protect ordinary people from the dangers of AI. He’s the Founder and CEO of BABL AI, an AI auditing firm. All opinions expressed here are strictly the hosts’ personal opinions and do not represent their employers' perspectives. Follow us for more Responsible AI and the occasional sh*tposting: Upol: https://twitter.com/UpolEhsan Shea: https://www.linkedin.com/in/shea-brown-26050465/ CHAPTERS: 0:00 - Introduction 0:45 - The 3 topics we cover in the episode 1:52 - Is RAI all hype? 4:14 - Who to trust and who to ignore in RAI 10:35 - How can newcomers to RAI navigate through the hype? 13:36 - How to break into responsible AI consulting 15:56 - Do people need to have a PhD to get into this? 18:52 - Responsible AI is inherently sociotechnical (not just technical) 21:54 - Why we need "cohesive diversity" in RAI not just diversity 23:57 - The EU AI Act's draft and discouraging irresponsible AI 27:26 - We need Responsible AI not Regulatory AI 29:03 - Why we need early cross pollination between RAI and other domains 31:39 - The range of diverse work in real-world RAI 33:20 - Outro #ResponsibleAI #ExplainableAI #podcasts #aiethics Support the Show. (https://www.buzzsprout.com/2304358/support) What can you do? 🎯 You have no idea how much it will annoy the wrong people if this series goes viral. So help the algorithm do the work for you! Follow us for more Responsible AI: Upol: https://twitter.com/UpolEhsan Shea: https://www.linkedin.com/in/shea-brown-26050465/

5. 

   4 Jun 2024

   🔥 The Taylor Swift Factor: Deep fakes & Responsible AI | irResponsible AI EP3S01

   Got questions or comments or topics you want us to cover? Text us! (https://www.buzzsprout.com/twilio/text_messages/2304358/open_sms) As they say, don't mess with Swifties. This episode irResponsible AI is about the Taylor Swift Factor in Responsible AI: ✅ Taylor Swift's deepfake scandal and what it did for RAIg ✅ Do famous people need to be harmed before we do anything about it? ✅ How to address the deepfake problem at the systemic and symptomatic levels What can you do? 🎯 Two simple things: like and subscribe. You have no idea how much it will annoy the wrong people if this series gains traction. 🎙️Who are your hosts and why should you even bother to listen? Upol Ehsan makes AI systems explainable and responsible so that people who aren’t at the table don’t end up on the menu. He is currently at Georgia Tech and had past lives at {Google, IBM, Microsoft} Research. His work pioneered the field of Human-centered Explainable AI. Shea Brown is an astrophysicist turned AI auditor, working to ensure companies protect ordinary people from the dangers of AI. He’s the Founder and CEO of BABL AI, an AI auditing firm. All opinions expressed here are strictly the hosts’ personal opinions and do not represent their employers' perspectives. Follow us for more Responsible AI and the occasional sh*tposting: Upol: https://twitter.com/UpolEhsan Shea: https://www.linkedin.com/in/shea-brown-26050465/ CHAPTERS: 0:00 - Introduction 01:20 - Taylor Swift Deepfakes: what happened 02:43 - Does disaster need to strike famous people for us to move the needle? 06:31 - What role can RAI play to address this deepfake problem? 07:19 - Disagreement! Deep fakes have both systemic and symptomatic causes 09:28 - Deep fakes, Elections, EU AI Act, and US State legislations 11:45 - The post-truth era powered by AI 15:40 - Watermarking AI generated content and the difficulty 19:26 - The enshittification of the internet 22:00- Three actionable takeaways #ResponsibleAI #ExplainableAI #podcasts #aiethics #taylorswift Support the Show. (https://www.buzzsprout.com/2304358/support) What can you do? 🎯 You have no idea how much it will annoy the wrong people if this series goes viral. So help the algorithm do the work for you! Follow us for more Responsible AI: Upol: https://twitter.com/UpolEhsan Shea: https://www.linkedin.com/in/shea-brown-26050465/

6. 

   4 Jun 2024

   🧐 Responsible AI is NOT the icing on the cake | irResponsible AI EP4S01

   Got questions or comments or topics you want us to cover? Text us! (https://www.buzzsprout.com/twilio/text_messages/2304358/open_sms) In this episode filled with hot takes, Upol and Shea discuss three things: ✅ How the Gemini Scandal unfolded ✅ Is Responsible AI is too woke? Or is there a hidden agenda? ✅ What companies can do to address such scandals What can you do? 🎯 Two simple things: like and subscribe. You have no idea how much it will annoy the wrong people if this series gains traction. 🎙️Who are your hosts and why should you even bother to listen? Upol Ehsan makes AI systems explainable and responsible so that people who aren’t at the table don’t end up on the menu. He is currently at Georgia Tech and had past lives at {Google, IBM, Microsoft} Research. His work pioneered the field of Human-centered Explainable AI. Shea Brown is an astrophysicist turned AI auditor, working to ensure companies protect ordinary people from the dangers of AI. He’s the Founder and CEO of BABL AI, an AI auditing firm. All opinions expressed here are strictly the hosts’ personal opinions and do not represent their employers' perspectives. Follow us for more Responsible AI and the occasional sh*tposting: Upol: https://twitter.com/UpolEhsan Shea: https://www.linkedin.com/in/shea-brown-26050465/ CHAPTERS: 0:00 - Introduction 1:25 - How the Gemini Scandal unfolded 5:30 - Selective outrage: hidden social justice warriors? 7:44 - Should we expect Generative AI to be historically accurate? 11:53 - Responsible AI is NOT the icing on the cake 14:58 - How Google and other companies should respond 16:46 - Immature Responsible AI leads to irresponsible AI 19:54 - Is Responsible AI too woke? 22:00 - Identity politics in Responsible AI 23:21 - What can tech companies do to solve this problem? 26:43 - Responsible AI is a process, not a product 28:54 - The key takeaways from the episode #ResponsibleAI #ExplainableAI #podcasts #aiethics Support the Show. (https://www.buzzsprout.com/2304358/support) What can you do? 🎯 You have no idea how much it will annoy the wrong people if this series goes viral. So help the algorithm do the work for you! Follow us for more Responsible AI: Upol: https://twitter.com/UpolEhsan Shea: https://www.linkedin.com/in/shea-brown-26050465/

7. 

   4 Jun 2024

   🤯 Harms in the Algorithm's Afterlife: how to address them | irResponsible AI EP1S01

   Got questions or comments or topics you want us to cover? Text us! (https://www.buzzsprout.com/twilio/text_messages/2304358/open_sms) In this episode of irResponsible AI, Upol & Shea bring the heat to three topics-- 🚨 Algorithmic Imprints: harms from zombie algorithms with an example of the LAION dataset 🚨 The FTC vs. Rite Aid Scandal and how it could have been avoided 🚨 NIST's Trustworthy AI Institute and the future of AI regulation You’ll also learn: 🔥 why AI is a tricky design material and how it impacts Generative AI and LLMs 🔥 how AI has a "developer savior" complex and how to solve it What can you do? 🎯 You have no idea how much it will annoy the wrong people if this series goes viral. So help the algorithm do the work for you! 🎙️Who are your hosts and why should you even bother to listen? Upol Ehsan makes AI systems explainable and responsible so that people who aren’t at the table don’t end up on the menu. He is currently at Georgia Tech and had past lives at {Google, IBM, Microsoft} Research. His work pioneered the field of Human-centered Explainable AI. Shea Brown is an astrophysicist turned AI auditor, working to ensure companies protect ordinary people from the dangers of AI. He’s the Founder and CEO of BABL AI, an AI auditing firm. All opinions expressed here are strictly the hosts’ personal opinions and do not represent their employers' perspectives. Follow us for more Responsible AI: Upol: https://twitter.com/UpolEhsan Shea: https://www.linkedin.com/in/shea-brown-26050465/ #ResponsibleAI #ExplainableAI #podcasts #aiethics Chapters: 00:00 - What is this series about? 01:34 - Personal Updates from Upol & Shea 04:35 - Algorithmic Imprint: How dead algorithms can still hurt people 06:47 - A recent example of the Imprint: LAION Dataset Scandal 11:09 - How can we create imprint-aware algorithms design guidelines? 11:53 - FTC vs Rite Aid Scandal: Biased Facial Recognition 15:48 - Hilarious mistakes: Chatbot selling a car for $1 18:14 - How could Rite Aid prevented this scandal? 21:28 - What's the NIST Trustworthy AI Institute? 25:03 - Shea's wish list for the NIST working group? 27:57 - How AI is different as a design material 30:08 - AI has a developer savior complex 32:29 - You can move fast and break things that you can't fix 32:40 - Audience Requests and Announcements Support the Show. (https://www.buzzsprout.com/2304358/support) What can you do? 🎯 You have no idea how much it will annoy the wrong people if this series goes viral. So help the algorithm do the work for you! Follow us for more Responsible AI: Upol: https://twitter.com/UpolEhsan Shea: https://www.linkedin.com/in/shea-brown-26050465/

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5.0 / 5

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