ΑΙhub.org
 

Watch the talks from the ACM Conference on Fairness, Accountability, and Transparency

by
18 August 2022



share this:
FAcct tiger logo

The ACM Conference on Fairness, Accountability, and Transparency (ACM FAccT) took place in Seoul, South Korea from 21-24 June 2022. The event brought together researchers and practitioners interested in fairness, accountability, and transparency in socio-technical systems.

All of the keynote talks, panel discussions, tutorials, and research talks are available to watch on YouTube. There are playlists for each:

There were four distinguished paper awards presented at the conference. You can see the associated talks below:


The values encoded in machine learning research
Abeba Birhane, Pratyusha Kalluri, Dallas Card, William Agnew, Ravit Dotan and Michelle Bao


Fairness-aware model-agnostic positive and unlabeled learning
Ziwei Wu and Jingrui He


Algorithmic tools in public employment services: towards a jobseeker-centric perspective
Kristen Scott, Sonja Mei Wang, Milagros Miceli, Pieter Delobelle, Karolina Sztandar-Sztanderska and Bettina Berendt


Towards intersectional feminist and participatory ML: a case study in supporting feminicide counterdata collection
H. Suresh, R. Movva, A. Lee Dogan, R. Bhargava, I. Cruxen, A. Martinez Cuba, G. Taurino, W. So, C. D’Ignazio





Lucy Smith , Managing Editor for AIhub.
Lucy Smith , Managing Editor for AIhub.




            AIhub is supported by:


Related posts :



Interview with Francesca Rossi – talking sustainable development goals, AI regulation, and AI ethics

“AI used to be a scientific and technical field, now it has become a socio-technical discipline"
28 March 2024, by

Datalike: Interview with Mariza Ferro

In their latest interview, Ndane and Isabella meet Mariza Ferro, professor at the Federal Fluminense University.

Interview with Amine Barrak: serverless computing and machine learning

PhD student, and AAAI Doctoral Consortium participant, Amine tells us about his research.
26 March 2024, by

AI UK 2024: Camden Council case study

How one of the London borough councils is using data and AI to help inform their decision making.
25 March 2024, by

How will generative artificial intelligence affect political advertising in 2024?

Illinois advertising professor Michelle Nelson talks about concerns around political advertising.
22 March 2024, by

Using machine learning to discover stiff and tough microstructures

Combining simulations and physical testing to forge materials with durability and flexibility for diverse engineering uses.
21 March 2024, by




AIhub is supported by:






©2024 - Association for the Understanding of Artificial Intelligence


 












©2021 - ROBOTS Association