Subvolts take YouTube uses AI for safety and is joining efforts to verify content origin. Sep 29, 2025
For you
Developers
Learn about AI applications in content moderation and the push for content authenticity standards.
Business
Understand how platforms leverage AI for safety and explore industry efforts to build trust in digital media.
Everyday users
Discover how AI helps protect you from harmful content and how platforms are addressing AI-generated media.
Hype note
3/5Notable

This episode provides a direct look at AI implementation and policy from a major platform's perspective.

Protection, Provenance, and Prompts: YouTube’s Angela Nakalembe

28 min Interview Hosts: Sam Ransbotham, Shervin Khodabandeh
0:0027:46

Audio streams from MIT Sloan Management Review. Your place is remembered on this device.

From Subvolts

Summary and analysis by Subvolts editorial, AI-assisted.

Summary

Me, Myself, and AI features YouTube's Angela Nakalembe discussing AI's role in content moderation and combating harmful material. Nakalembe explains how AI acts as a first defense, accelerating moderation and making it more humane. The episode also covers YouTube's participation in the Coalition for Content Provenance and Authenticity to address AI-generated content and Nakalembe's personal use of LLMs.

Explained simply

YouTube uses AI to help filter out bad videos before people see them. They are also working with others to figure out if videos were made by AI or humans, so people know what's real.

Why listen

This episode offers insight into how a major platform like YouTube uses AI for safety and authenticity. It's for anyone interested in AI's real-world application in content moderation and the challenges of AI-generated media. Nakalembe's role highlights how companies are partnering to set standards, a crucial step as frontier labs like Google Gemini and OpenAI develop more sophisticated generative models.

On the mic
  • HostSam Ransbotham
  • HostShervin Khodabandeh
  • GuestAngela NakalembeEngineering Program Manager, YouTube
About
Key facts
  • Guest: Angela Nakalembe, Engineering Program Manager at YouTube
  • Show: Me, Myself, and AI
  • Length: 28 minutes
  • AI's role: First line of defense against harmful content on YouTube.
  • Content Authenticity Initiative: Coalition for Content Provenance and Authenticity Alliance
Show notes from MIT Sloan Management Review

A chemical engineer by training, Angela Nakalembe worked in the sciences and management consulting before landing at YouTube as the company’s engineering program manager for trust and safety.

At YouTube, Angela explains, AI has become a first line of defense against harmful content. The technology not only accelerates content moderation tasks but makes the process more humane, by filtering out problematic content before it reaches a human reviewer. To combat the proliferation of AI-generated content that may be hard to discern from assets created by humans, YouTube, its parent company Google, and others have joined the Coalition for Content Provenance and Authenticity Alliance to establish standards for the origin of content they observe. Also on today’s episode, Angela shares some personal experiences using large language models (LLMs) and Google’s own AI tools to illustrate how she sees individuals using AI in the future. Read the episode transcript here.


Guest bio

Angela Nakalembe is an operations leader, internet safety expert, and advocate for responsible AI development. As an engineering program manager at YouTube, she leads strategic initiatives focused on protecting billions of users through innovative safety features and risk mitigation strategies, work that has earned multiple Google product excellence awards. Nakalembe developed her strategic expertise as a management consultant, when she supported multimillion-dollar technology migrations for Fortune 50 companies. She currently provides mentoring through TechWomen, a U.S. Department of State initiative creating the next generation of women technology leaders worldwide, and she teaches yoga.

Me, Myself, and AI is a podcast produced by MIT Sloan Management Review and hosted by Sam Ransbotham. It is engineered by David Lishansky and produced by Allison Ryder.

We encourage you to rate and review our show. Your comments may be used in Me, Myself, and AI materials.

Jargon decoded
LLMs
Angela Nakalembe
Large Language Models, a type of AI that understands and generates text.
Provenance
Angela Nakalembe
The origin or source of something, in this case, digital content.
Published
Show
Me, Myself, and AI · MIT Sloan Management Review
Length
28 min
Companies
Google, OpenAI
Products
Gemini
Summary by
Subvolts, using an AI model (how we work). Spotted a mistake? Tell us.

Questions people ask

How does YouTube use AI for content moderation?
AI serves as a first line of defense, accelerating moderation tasks and filtering problematic content before human reviewers see it.
What is YouTube doing about AI-generated content?
YouTube, along with Google and others, joined the Coalition for Content Provenance and Authenticity to establish standards for content origin.

Page generated Oct 19, 2026. Summaries are Subvolts' own; the audio, artwork and notes belong to MIT Sloan Management Review.