Robohub.org
Machine learning requires careful stewardship | Royal Society
The many potential social and economic benefits from advances in AI-based technologies depend entirely on the environment in which these technologies evolve, says the Royal Society. According to a new report from the UK’s science academy, urgent consideration needs to be given to the “careful stewardship” needed over the next ten years to ensure that the dividends from machine learning – the form of artificial intelligence that allows machines to learn from data – benefit all in UK society.
Alex Kirkpatrick
is a passionate writer and science communicator...
Alex Kirkpatrick
is a passionate writer and science communicator...
AUAI is supported by:
Related posts :
Competing in RoboCup@Home and winning the 2026 best paper award: an interview with Raphael Memmesheimer
AIhub and Lucy Smith
28 Oct 2026
Hear more about Raphael's research and his involvement in the RoboCup@Home league.
Robots in Society, Business and Culture: September 2026
IEEE Robotics and Automation Society (RAS)
26 Oct 2026
We showcase a selection of robotics stories from society, business, research and culture.
Robot Talk Episode 167 – Automating construction, with Jan Petrš
Robot Talk
23 Oct 2026
In the latest episode of the Robot Talk podcast, Claire chatted to Jan Petrš from École Polytechnique Fédérale de Lausanne about novel robot designs for construction and architecture.
ACM SIGAI Autonomous Agents Award 2027 open for nominations
ACM SIGAI
20 Oct 2026
Nominations are solicited for the 2027 ACM SIGAI Autonomous Agents Research Award.
Powered by muscle cells, a paper-thin robot swims through watery maze
MIT News
19 Oct 2026
MIT engineers’ new aquabot offers a way to design small, efficient “biohybrid” robots.
Robot Talk Episode 166 – Evolving robot bodies and brains, with Rika Antonova
Robot Talk
16 Oct 2026
In the latest episode of the Robot Talk podcast, Claire chatted to Rika Antonova from the University of Cambridge about using artificial intelligence to develop complimentary robot hardware and algorithms.
Neurosymbolic planning using natural language communication for cooperative autonomous vehicles
Read about work that was nominated for the AAMAS 2026 best paper award.
Humanoid robots can sprint and box – but the real test is doing the laundry
The Conversation
12 Oct 2026
No robot system can yet reliably handle the whole laundry process. Even folding remains a challenge.
