A Conversation with Mayalen Etcheverry
Developing "curious" AI agents to autonomously discover and learn a diversity of structures and skills in their environments.
Read moreBlog
A Conversation with Michael Levin
Evolution doesn't produce specific solutions to specific environmental problems. It produces problem solving machines. Machines that can solve problems in other spaces.
Read more
New Horizons
February 03, 2022
AI Policy and Society
GoodAI's Marek Havrda leaves his role as AI Policy and Social Impact Director to commence a new post in public administration.
Read more
Review of 2021 & plans for 2022
January 24, 2022
GoodAI CEO Marek Rosa reflects on the progress made by GoodAI and Keen Software House in 2021 and outlines the plans for 2022.
Read more
What are the differences between centralized learning (in monolithic systems) and decentralized learning (in multi-agent systems)?
January 18, 2022
Research
Why are we studying social learning in multi-agent systems?
Read more
Open Call for Papers for 2022 ICLR Workshop on Collective Learning
December 23, 2021
Research
The 2022 workshop, “From Cells to Societies: Collective Learning Across Scales,” will examine natural systems to understand how collective interactions can contribute to new learning approaches in artificial learning systems.
Read more
GPU Grant to Support TU Delft’s AI Research
November 30, 2021
Research
Wendelin Böhmer investigates how restricted neural modules, similar to Badger agents, can learn generalizing sub-tasks and how a message passing architecture can reliably compose their output for out-of-distribution generalization.
Read more
GoodAI Contributes to the First Global Agreement on the Ethics of Artificial Intelligence
November 26, 2021
AI Policy and Society
UNESCO member countries endorse global rules for ‘ethical AI,’ including clear red lines such as banning the use of AI for social scoring and mass surveillance.
Read more
Bridging the Continual Learning Gap with Deep Artificial Neurons
October 26, 2021
Research
Integrating GoodAI’s Badger architecture and principles, new grant recipients Rolando Estrada and Blake Camp aim to develop a continual semi-supervised learning system capable of joint supervised and unsupervised learning.
Read more
Memetic Experiments for an Open-Ended Learning Paradigm
October 05, 2021
Research
GoodAI presents a new paper to trace memetic evolution and investigate whether open-ended learning algorithms can be discovered through the lens of socio-cultural learning models.
Read moreJoin GoodAI
Are you keen on making a meaningful impact? Interested in joining the GoodAI team?
