Imitative Generalisation (AKA ‘Learning the Prior’)

AI Safety Fundamentals: Alignment

https://www.alignmentforum.org/posts/JKj5Krff5oKMb8TjT/imitative-generalisation-aka-learning-the-prior-1

33:58

In this episode, we delve into the concept of being "qualified" in the workplace, examining who gets labeled as such, who doesn't, and the underlying reasons. We explore "competency checking"—the practice of scrutinizing individuals' abilities—and how it disproportionately affects underrepresented groups, often going unnoticed or unchallenged. Our discussion aims to redefine qualifications in a fair, equitable, and actionable manner. Our guest, Shari Dunn , is an accomplished journalist, former attorney, news anchor, CEO, university professor, and sought-after speaker. She has been recognized as Executive of the Year and a Woman of Influence, with her work appearing in Fortune Magazine, The Wall Street Journal, Ad Age, and more. Her new book, Qualified: How Competency Checking and Race Collide at Work , unpacks what it truly means to be deserving and capable—and why systemic barriers, not personal deficits, are often the real problem. Her insights challenge the narratives that hold so many of us back and offer practical solutions for building a more equitable future. Together, we can build workplaces and communities that don’t just reflect the world we live in, but the one we want to create. A world where being qualified is about recognizing the talent and potential that’s been overlooked for far too long. It’s not just about getting a seat at the table—it’s about building an entirely new table, one designed with space for all of us. Connect with Our Guest Shari Dunn Website& Book - Qualified: https://thesharidunn.com LI: https://www.linkedin.com/today/author/sharidunn TikTok: https://www.tiktok.com/@thesharidunn Related Podcast Episodes: How To Build Emotionally Mature Leaders with Dr. Christie Smith | 272 Holding It Together: Women As America's Safety Net with Jessica Calarco | 215 How To Defy Expectations with Dr. Sunita Sah | 271 Share the Love: If you found this episode insightful, please share it with a friend, tag us on social media, and leave a review on your favorite podcast platform! 🔗 Subscribe & Review: Apple Podcasts | Spotify | Amazon Music…

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This post tries to explain a simplified version of Paul Christiano’s mechanism introduced here, (referred to there as ‘Learning the Prior’) and explain why a mechanism like this potentially addresses some of the safety problems with naïve approaches. First we’ll go through a simple example in a familiar domain, then explain the problems with the example. Then I’ll discuss the open questions for making Imitative Generalization actually work, and the connection with the Microscope AI idea. A more detailed explanation of exactly what the training objective is (with diagrams), and the correspondence with Bayesian inference, are in the appendix.

Source:

Narrated for AI Safety Fundamentals by Perrin Walker of TYPE III AUDIO.

---

A podcast by BlueDot Impact.
Learn more on the AI Safety Fundamentals website.

Разделы

1. Imitative Generalisation (AKA ‘Learning the Prior’) (00:00:00)

2. TL;DR (00:00:11)

3. Goals of this post (00:02:22)

4. Example: using IG to avoid overfitting in image classification. (00:03:02)

5. Key difficulties for IG (00:10:11)

6. Relationship with Microscope AI (00:14:45)

85 эпизодов

#Tech #Society #Philosophy #Blue Dot Impact

Imitative Generalisation (AKA ‘Learning the Prior’)

AI Safety Fundamentals: Alignment

published год назад

MP3•Главная эпизода

Архивные серии ("Канал не активен" status)

When? This feed was archived on February 21, 2025 21:08 (17d ago). Last successful fetch was on January 02, 2025 12:05 (2M ago)

Source:

https://www.alignmentforum.org/posts/JKj5Krff5oKMb8TjT/imitative-generalisation-aka-learning-the-prior-1

Narrated for AI Safety Fundamentals by Perrin Walker of TYPE III AUDIO.

---

A podcast by BlueDot Impact.
Learn more on the AI Safety Fundamentals website.

Разделы

1. Imitative Generalisation (AKA ‘Learning the Prior’) (00:00:00)

2. TL;DR (00:00:11)

3. Goals of this post (00:02:22)

4. Example: using IG to avoid overfitting in image classification. (00:03:02)

5. Key difficulties for IG (00:10:11)

6. Relationship with Microscope AI (00:14:45)

85 эпизодов

#Tech #Society #Philosophy #Blue Dot Impact

Все серии

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