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.

            AUAI is supported by:



Subscribe to AIhub newsletter on substack



Related posts :

monthly digest

AIhub monthly digest: July 2026 – time-series anomaly detection, music generation, and RoboCup in action

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

OpenAI’s models autonomously hacked a tech startup. It signals a seismic shift in cybersecurity

  28 Jul 2026
An autonomous agent powered by OpenAI’s went rogue during a security test and hacked multi-billion dollar tech startup, Hugging Face.

Towards experiment-guided AlphaFold

Researchers enhance Nobel Prize-winning structural prediction model.

AI listens in to help protect wildlife

  24 Jul 2026
Scientists are using AI systems to help track species and spot ecosystem changes.

How can we characterize consensus in a network of agents?

  23 Jul 2026
Belief Flow Networks give a logic-based way to ask not only whether connected agents will eventually agree on a shared "belief", but which final shared beliefs can emerge.

Anyone can fake a scientific image with AI, tricking even academic journals – and undermining trust in science

  22 Jul 2026
The proliferation of AI-generated science images in public spaces is not simply a misinformation problem.

AAAI presidential panel – AI and scientific integrity

  21 Jul 2026
Watch the next panel discussion in this series from AAAI.

Congratulations to the #ICML2026 award winners

  20 Jul 2026
Find out which articles have won the outstanding paper, outstanding position paper, and the test-of-time awards.



AUAI is supported by:







Subscribe to AIhub newsletter on substack




 















©2026.05 - Association for the Understanding of Artificial Intelligence