ΑΙhub.org
 

Forthcoming machine learning and AI seminars: August 2021 edition


by
09 August 2021



share this:
laptop and notebook

This post contains a list of the AI-related seminars that are scheduled to take place between 9 August and 30 September 2021. All events detailed here are free and open for anyone to attend virtually.

5 August 2021

A Discussion of Mathematical Formulations of Fairness through the Lens of Equality of Opportunity
Speaker: Hoda Heidari (Carnegie Mellon University)
Organised by: Trustworthy ML
Join the mailing list for instructions on how to sign up, or check the website a few days beforehand for the Zoom link.

Distributed ML System for Large-scale Models: Dynamic Distributed Training and Scalable Federated Learning
Speaker: Chaoyang He
Organised by: Stanford MLSys
Join the email list to find out how to register for each seminar.

12 August 2021

Causal AI for Systems
Speaker: Pooyan Jamshidi
Organised by: Stanford MLSys
Join the email list to find out how to register for each seminar.

19 August 2021

Rising stars spotlights
Speaker: Shiori Sagawa and Vihari Piratla
Organised by: Trustworthy ML
Join the mailing list for instructions on how to sign up, or check the website a few days beforehand for the Zoom link.

2 September 2021

Title to be confirmed
Speaker: To be confirmed
Organised by: Trustworthy ML
Join the mailing list for instructions on how to sign up, or check the website a few days beforehand for the Zoom link.

Title to be confirmed
Speakers: Shmuel Oren, University of California, Berkeley
Organised by: C3.ai DTI
Registration information will be announced soon.

7 September 2021

AI Ethics and Engagement with Children and Young People
Speaker: Mhairi Aitken (The Alan Turing Institute)
Organised by: Raspberry Pi
Join the mailing list for instructions on how to sign up.

9 September 2021

Title to be confirmed
Speakers: Benjamin Van Roy (Stanford University)
Organised by: C3.ai DTI
Registration information will be announced soon.

13 September 2021

Title to be confirmed
Speaker: Allison Okamura (Stanford)
Organised by: EPFL
Registration information pending.

14 September 2021

Title to be confirmed
Speaker: Danny Abrams (Northwestern University)
Organised by: University of Minnesota
Watch the livestream here.

16 September 2021

Identifying Subgroups in Algorithmic Fairness
Speaker: Sherri Rose (Stanford University)
Organised by: Trustworthy ML
Join the mailing list for instructions on how to sign up, or check the website a few days beforehand for the Zoom link.

Title to be confirmed
Speakers: Devavrat Shah (Massachusetts Institute of Technology)
Organised by: C3.ai DTI
Registration information will be announced soon.

20 September 2021

Title to be confirmed
Speaker: Coralia Cartis (University of Oxford)
Organised by: Machine Learning NeEDS Mathematical Optimization
Register here.

23 September 2021

Title to be confirmed
Speaker: Lucy Colwell (Cambridge University)
Organised by: EPFL
Zoom link is here.

27 September 2021

Title to be confirmed
Speaker: Leo Liberti (École Polytechnique)
Organised by: Machine Learning NeEDS Mathematical Optimization
Register here.

28 September 2021

Title to be confirmed
Speaker: Boris Landa (Yale University)
Organised by: University of Minnesota
Watch the livestream here.

30 September 2021

Title to be confirmed
Speaker: Sanmi Koyejo (University of Illinois at Urbana-Champaign)
Organised by: Trustworthy ML
Join the mailing list for instructions on how to sign up, or check the website a few days beforehand for the Zoom link.

Title to be confirmed
Speakers: Ishai Menache (Microsoft)
Organised by: C3.ai DTI
Registration information will be announced soon.

Title to be confirmed
Speaker: Jarrod McClean (Google)
Organised by: Princeton University
Zoom link information to be provided soon.

Workshop Diagnostics, imaging and AI
Speakers: Speakers to be confirmed
Organised by: Chalmers University of Technology
Registration information to be confirmed.

The Turing Lectures
Speakers: Cynthia Dwork
Organised by: The Alan Turing Institute
Register here.


For a more complete list, including past events back to June 2020, please see our dedicated seminar page.

If you’d like to visit the webpages of the universities and other organisations that are running regular programmes of seminars, then click here to see our list.

If you are aware of any seminars (both standalone and series) that we’ve missed then please just send us an email and we’ll add them to the list.




Lucy Smith is Senior Managing Editor for AIhub.
Lucy Smith is Senior Managing Editor for AIhub.

            AIhub is supported by:



Subscribe to AIhub newsletter on substack



Related posts :

‘Probably’ doesn’t mean the same thing to your AI as it does to you

  17 Apr 2026
Are you sure you and the AI chatbot you’re using are on the same page about probabilities?

Interview with Xinwei Song: strategic interactions in networked multi-agent systems

  16 Apr 2026
Xinwei Song tells us about her research using algorithmic game theory and multi-agent reinforcement learning.

2026 AI Index Report released

  15 Apr 2026
Find out what the ninth edition of the report, which was published on 13 April, says about trends in AI.

Formal verification for safety evaluation of autonomous vehicles: an interview with Abdelrahman Sayed Sayed

  14 Apr 2026
Find out more about work at the intersection of continuous AI models, formal methods, and autonomous systems.

Water flow in prairie watersheds is increasingly unpredictable — but AI could help

  13 Apr 2026
In recent years, the Prairies have seen bigger swings in climate conditions — very wet years followed by very dry ones.

Identifying interactions at scale for LLMs

  10 Apr 2026
Model behavior is rarely the result of isolated components; rather, it emerges from complex dependencies and patterns.

Interview with Sukanya Mandal: Synthesizing multi-modal knowledge graphs for smart city intelligence

  09 Apr 2026
A modular four-stage framework that draws on LLMs to automate synthetic multi-modal knowledge graphs.

Emergence of fragility in LLM-based social networks: an interview with Francesco Bertolotti

  08 Apr 2026
Francesco tells us how LLMs behave in the social network Moltbook, and what this reveals about network dynamics.



AIhub is supported by:







Subscribe to AIhub newsletter on substack




 















©2026.02 - Association for the Understanding of Artificial Intelligence