BlueDot Impact Meetup Header

AI safety Seminar

Explore our seminars, learn directly from AI safety researchers, and find the guidance and support your career or project needs to make a real impact.

Our speakers have worked or collaborated with

  • Apart Research
  • Google DeepMind
  • OpenAI
  • MIRI
  • Future of Life Institute
  • Center for AI Safety
  • LASR Labs
  • SaferAI
  • Pour Demain
  • BlueDot Impact
  • AI Governance Club (BlueDot)
  • Cambridge AI Safety Hub
  • ML4Good
  • Kairos
  • AI Risk Explorer
  • ORCG
  • PauseAI
  • BAISH
  • AI Safety México
  • AI Safety Colombia
  • AI Safety Barcelona
  • CEGIA
  • Women4AISafety
  • DLR
  • Max Planck
  • IIT
  • Princeton
  • TUM
  • UPM
  • UPC
  • UPV
  • UBA
  • Universidad de los Andes
  • UNAM
  • Universidad Politécnica de Yucatán
  • ITK Engineering
  • Mercado Libre
  • Sezzle
  • TShaped
Career
How to Build a Career in AI safety Without a PhD

How to Build a Career in AI safety Without a PhD

Jaime Raldúa Veuthey

Jaime entered AI safety through a hackathon and now leads Apart Research. Discover how to build a real career in AI safety from scratch.

2/4/2026
Technical Research
AI Monitoring: Can We Read its Thoughts?

AI Monitoring: Can We Read its Thoughts?

Pablo Bernabeu Pérez

Can AI deceive us in its own reasoning? Pablo presents CoT Red-Handed, exploring the limits and solutions for monitoring AI chains of thought.

2/4/2026
Policy & Governance
AI & Cybersecurity: Emergent Autonomous Risks

AI & Cybersecurity: Emergent Autonomous Risks

Alejandro Tlaie Boria

Alejandro Tlaie analyzes how AI agents autonomously hack systems in real environments, evaluating urgent challenges in governance, auditing, and cybersecurity.

3/4/2026
Network
The AI Safety Ecosystem in Latin America

The AI Safety Ecosystem in Latin America

Janeth Valdivia

Janeth, coordinator of AI Safety Mexico, maps the regional ecosystem and reviews projects like VIGÍA to drive AI safety in Spanish.

4/8/2026
Technical Research
AI safety via debate: scalable oversight with weak judges

AI safety via debate: scalable oversight with weak judges

Joaquín Salvador Machulsky

Joaquín analyzes the limits of 'AI safety via debate' against models with asymmetric capabilities, showing how protocol design can enforce AI honesty.

4/8/2026
Activism & Policy
Cybersecurity & Governance: the Mythos/Glasswing Case

Cybersecurity & Governance: the Mythos/Glasswing Case

Dani Lupión

Dani analyzes the Mythos/Glasswing case, addressing the risks of AI capability proliferation and the political urgency raised by PauseAI.

5/6/2026
Governance & AI
The Digital Linguistic Bias (DLB) and AI Governance

The Digital Linguistic Bias (DLB) and AI Governance

Mariana Hungría

Mariana Hungría examines Digital Linguistic Bias as a governance problem: what it means that large language models fail to adequately represent the Spanish-speaking world.

6/3/2026
Career
A career in AI safety: a personal story from Buenos Aires

A career in AI safety: a personal story from Buenos Aires

Eitan Sprejer

Eitan, AI safety researcher and co-founder of BAISH, on building a career in this field from Buenos Aires.

7/1/2026
AI Governance
Mythos, Fable and GPT-5.6: has the era of state control over frontier AI begun?

Mythos, Fable and GPT-5.6: has the era of state control over frontier AI begun?

Dani Lupión

An industry insider's look at whether recent state restriction episodes mark the start of government control over frontier AI.

7/22/2026
Responsible AI
Detecting contextual biases in language models

Detecting contextual biases in language models

Melissa Robles Carmona

Melissa is a mathematician with a master's degree in Systems Engineering, presenting her research on bias detection in supervised models and language models, with particular attention to contextual biases in the Spanish language.

8/5/2026
Career & Fieldbuilding
The Real Bottleneck in AI Safety (It's Not What You Think)

The Real Bottleneck in AI Safety (It's Not What You Think)

José Gelves

José Gelves, director of AI Safety Colombia, explains why the real bottleneck in AI safety isn't technical research, but the lack of generalist talent and institutional coordination.

9/2/2026
AI Governance
Monitoring AI Risks Through Public Evidence: What We Really Know

Monitoring AI Risks Through Public Evidence: What We Really Know

Guillem Bas

Guillem Bas, Head of Projects at the AI Risk Explorer (AIRE), explains how the systematic collection and synthesis of public evidence makes it possible to monitor AI risks rigorously.

9/23/2026
Career & Fieldbuilding
Finding and Creating Opportunities in AI Safety

Finding and Creating Opportunities in AI Safety

Tobias Martin

Tobias Martin, communicator and researcher at MIRI, explains how to find and create opportunities in AI safety as a Spanish speaker, in a field so new that it is still full of gaps to fill.

10/7/2026
AI Governance
From Prediction to Action: Why Probabilistic AI Needs Deterministic Boundaries

From Prediction to Action: Why Probabilistic AI Needs Deterministic Boundaries

Andrés Lage Freire

Andrés Lage Freire, an AI governance engineering specialist, explains why probabilistic models need deterministic boundaries once they move from proposing to acting, through a separation of powers inspired by Montesquieu.

10/21/2026

Don't miss the next talk

Subscribe to our Luma calendar to get every seminar session, or to our newsletter to keep up with everything iaS does.

Subscribe to the calendar