ΑΙhub.org
monthly digest
 

AIhub monthly digest: June 2022 – bootstrapped meta-learning, ethical AI, and a song contest


by
28 June 2022



share this:
Panda and tiger reading

Welcome to our June 2022 monthly digest, where you can catch up with any AIhub stories you may have missed, get the low-down on recent events, and much more. This month, we find out about meta-learning, explore the importance of images in communicating about AI, and ponder over who to vote for in the AI Song Contest.

New voices in AI

In the latest episode of New voices in AI, Oumaima Hajri shares her work and journey in ethical AI. Watch the episode here.

Bootstrapped meta-learning

Sebastian Flennerhag, Yannick Schroecker, Tom Zahavy, Hado van Hasselt, David Silver, and Satinder Singh won an ICLR 2022 outstanding paper award for their work Bootstrapped meta-learning. We spoke to Sebastian about how the team approached the problem of meta-learning, how their algorithm performs, and plans for future work. Read the interview here.

IJCAI 2022 awards

The winners of four IJCAI awards have been announced. These four distinctions are: the Award for Research Excellence, the Computers and Thought Award, the John McCarthy Award and the Donald E. Walker Distinguished Service Award. Find out who won here.

FAccT 2022 distinguished paper awards

Congratulations to the winners of the FAccT 2022 distinguished paper awards! There were two distinguished paper awards, and two student paper awards.

  • Distinguished paper awards:
    • Abeba Birhane, Pratyusha Kalluri, Dallas Card, William Agnew, Ravit Dotan and Michelle Bao, The values encoded in machine learning research.
    • Ziwei Wu and Jingrui He, Fairness-aware model-agnostic positive and unlabeled learning.
  • Distinguished student paper awards:
    • Kristen Scott, Sonja Mei Wang, Milagros Miceli, Pieter Delobelle, Karolina Sztandar-Sztanderska and Bettina Berendt, Algorithmic tools in public employment services: towards a jobseeker-centric perspective.
    • H. Suresh, R. Movva, A. Lee Dogan, R. Bhargava, I. Cruxen, A. Martinez Cuba, G. Taurino, W. So, C. D’Ignazio, Towards intersectional feminist and participatory ML: a case study in supporting feminicide counterdata collection.

Conference on reinforcement learning and decision making

In early June, Brown University played host to the multi-disciplinary conference on reinforcement learning and decision making (RLDM). You can watch recordings of the talks here. At the conference, two best paper awards were presented. These went to:

  • Yash Chandak, Scott Niekum, Bruno Castro da Silva, Erik Learned-Miller, Emma Brunskill, Philip S. Thomas, Universal off-policy evaluation.
  • Diksha Gupta, Brian DePasquale, Charles Kopec, Carlos Brod, An explanatory link between history biases and lapses.

Images matter

How we depict the state of technology (imagined, current or future) visually and verbally, helps us position ourselves in relation to what is already there and what is coming. In this interesting article, Merve Hickok explains why it is crucial to challenge the narratives and biases underlying the stereotypical images of AI, and how we can help contribute to creating better images of AI. As a case study she analyses the results of google images searchers for common AI applications in both Turkish and English.

Can AI make humans better?

The AIhub coffee corner captures the musings of AI experts over a short conversation. This month, we ask if AI can make humans better. And, if so, how? Read the discussion here.

International Conference on Robotics and Automation

ICRA 2022 brought together the world’s top researchers and companies to share ideas and advances in the fields of robotics and automation. You can read a summary of the event here. David Garzón Ramos has put together a series of videos, which give a flavour of each of the five days of the conference. You can find the playlist on YouTube here.

AI song contest voting

The AI song contest is back for a third year. There were a whopping 46 entries this year, and you can listen to them all here. The jury have selected 15 finalists, and you can vote on these until 30 June.

Mayflower autonomous ship arrives in the USA

We’ve been following with interest the progress of the Mayflower Autonomous Ship. After a 40-day, 5,600km journey across the Atlantic, the vessel completed its journey, reaching Halifax, Nova Scotia on 5 June. You can see some photos and commentary on the team’s Instagram page. On 27 June, the ship began the journey back to the UK. You can view progress, including live webcam footage, on the dashboard.

How do text-to-image generators work?

This video from Vox takes a look at text-to-image generators and provides a primer on how this technology works, and some of the implications. In this bonus video you can see an extended discussion about what this means for human artists, designers, and illustrators.



tags:


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 :

RWDS Big Questions: how do we balance innovation and regulation in the world of AI?

  06 Mar 2026
The panel explores the tensions, trade-offs and practical realities facing policymakers and data scientists alike.

Studying multiplicity: an interview with Prakhar Ganesh

  05 Mar 2026
What is multiplicity, and what implications does it have for fairness, privacy and interpretability in real-world systems?

Top AI ethics and policy issues of 2025 and what to expect in 2026

, and   04 Mar 2026
In the latest issue of AI Matters, a publication of ACM SIGAI, Larry Medsker summarised the year in AI ethics and policy, and looked ahead to 2026.

The greatest risk of AI in higher education isn’t cheating – it’s the erosion of learning itself

  03 Mar 2026
Will AI hollow out the pipeline of students, researchers and faculty that is the basis of today’s universities?

Forthcoming machine learning and AI seminars: March 2026 edition

  02 Mar 2026
A list of free-to-attend AI-related seminars that are scheduled to take place between 2 March and 30 April 2026.
monthly digest

AIhub monthly digest: February 2026 – collective decision making, multi-modal learning, and governing the rise of interactive AI

  27 Feb 2026
Welcome to our monthly digest, where you can catch up with AI research, events and news from the month past.

The Good Robot podcast: the role of designers in AI ethics with Tomasz Hollanek

  26 Feb 2026
In this episode, Tomasz argues that design is central to AI ethics and explores the role designers should play in shaping ethical AI systems.

Reinforcement learning applied to autonomous vehicles: an interview with Oliver Chang

  25 Feb 2026
In the third of our interviews with the 2026 AAAI Doctoral Consortium cohort, we hear from Oliver Chang.



AIhub is supported by:







Subscribe to AIhub newsletter on substack




 















©2026.02 - Association for the Understanding of Artificial Intelligence