ΑΙhub.org
 

Forthcoming machine learning and AI seminars: May 2024 edition


by
13 May 2024



share this:
laptop and notebook

This post contains a list of the AI-related seminars that are scheduled to take place between 13 May and 30 June 2024. All events detailed here are free and open for anyone to attend virtually.

13 May 2024

Faithful Model Explanations through Energy-Constrained Conformal Counterfactuals
Speaker: Patrick Altmeyer (Delft University of Technology)
Organised by: Imperial College London
Sign up here.

Bacteria to AI: Human Futures with Our Nonhuman Symbionts
Speaker: Katherine Hayles
Organised by: Cambridge Digital Humanities
Register here.

14 May 2024

Generative AI is changing undergraduate education; and undergraduate research too!
Speaker: Stephen MacNeil, Andrew Tran & Irene Hou (Temple University)
Organised by: Raspberry PI
Sign up here to join.

Theorizing Regulatory Data Infrastructure
Speaker: Stefania Milan (University of Amsterdam)
Organised by: The Digital Humanism (DIGHUM) Initiative
The talk will be livestreamed on YouTube here.

24 May 2024

A Machine Learning approach for Chicken Diseases Diagnostics at Farm Level
Speaker: Dina Machuve
Organised by: Climate Change AI
Register here.

27 May 2024

The Eye of the Master: A Social History of Artificial Intelligence
Speaker: Matteo Pasquinelli
Organised by: Cambridge Digital Humanities
Register here nearer the time.

28 May 2024

AI Ethics: Foundational Challenges in Assuring Safety and Alignment of Large Language Models
Speaker: Usman Anwar
Organised by: Chalmers University
Register here.

29 May 2024

When Do Decision Makers Use Visualisation?
Speaker: Mai Elshehaly (City University of London)
Organised by: Brunel University London
Register here.

30 May 2024

SHAP-XRT: The Shapley Value Meets Conditional Independence Testing
Speaker: Jacopo Taneggi & Beepul Bharti
Organised by: Imperial College London
Sign up here.

3 June 2024

Rules and Algorithms
Speaker: Lorraine Daston
Organised by: Cambridge Digital Humanities
Register here nearer the time.

4 June 2024

Civic Virtue and Digital Technology
Speaker: Wessel Reijers (Paderborn University)
Organised by: The Digital Humanism (DIGHUM) Initiative
The talk will be livestreamed on YouTube here.

10 June 2024

Who Do We Become When We Talk to Machines?
Speaker: Sherry Turkle
Organised by: Cambridge Digital Humanities
Register here nearer the time.

11 June 2024

Generative AI Degrades Online Communities
Speaker: Gordon Burtch (Boston University)
Organised by: The Digital Humanism (DIGHUM) Initiative
The talk will be livestreamed on YouTube here.

Using a feedback literacy approach, what are secondary educators’ views of LLM-generated explanations of program error messages?
Speaker: Veronica Cucuiat (Raspberry Pi Foundation)
Organised by: Raspberry PI
Sign up here to join.

12 June 2024

Exploring the Synergy of Machine Learning and Healthcare Advancements
Speaker: Zahraa Abdallah (University of Bristol)
Organised by: Brunel University London
Register here.

17 June 2024

Who Do We Become When We Talk to Machines?
Speaker: Chris Wiggins and Matthew L. Jones
Organised by: Cambridge Digital Humanities
Register here nearer the time.

18 June 2024

DiConStruct: Causal Concept-based Explanations through Black-Box Distillation
Speaker: Jacopo Bono
Organised by: Imperial College London
Sign up here.

26 June 2024

Remixing the real world: How to use synthetic images and videos to train more robust deep learning models
Speaker: Ivan Nikolov (Aalborg University)
Organised by: Brunel University London
Register here.


To see past and forthcoming events for 2024, please see our dedicated 2024 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.



tags:


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




            AIhub is supported by:


Related posts :



Dataset reveals how Reddit communities are adapting to AI

  25 Apr 2025
Researchers at Cornell Tech have released a dataset extracted from more than 300,000 public Reddit communities.

Interview with Eden Hartman: Investigating social choice problems

  24 Apr 2025
Find out more about research presented at AAAI 2025.

The Machine Ethics podcast: Co-design with Pinar Guvenc

This episode, Ben chats to Pinar Guvenc about co-design, whether AI ready for society and society is ready for AI, what design is, co-creation with AI as a stakeholder, bias in design, small language models, and more.

Why AI can’t take over creative writing

  22 Apr 2025
A large language model tries to generate what a random person who had produced the previous text would produce.

Interview with Amina Mević: Machine learning applied to semiconductor manufacturing

  17 Apr 2025
Find out how Amina is using machine learning to develop an explainable multi-output virtual metrology system.

Images of AI – between fiction and function

“The currently pervasive images of AI make us look somewhere, at the cost of somewhere else.”

Grace Wahba awarded the 2025 International Prize in Statistics

  16 Apr 2025
Her contributions laid the foundation for modern statistical techniques that power machine learning algorithms such as gradient boosting and neural networks.




AIhub is supported by:






©2024 - Association for the Understanding of Artificial Intelligence


 












©2021 - ROBOTS Association