Artificial intelligence
-
The illusion of thinking: large reasoning models (LRMs) collapse in the face of complicated tasks
Research insights challenge prevailing assumptions about LRM capabilities.
-
How we tricked AI chatbots into creating misinformation, despite ‘safety’ measures
Research reveals why simple prompts can bypass AI safeguards.
-
95% of organizations are getting zero return on AI, while shadow AI thrives. But at what knowledge risk?
AI is transforming work, just not through official channels.
-
Strategies and recommendations for managing ethical considerations in the use of AI in KM
Addressing privacy, algorithmic bias, transparency, accountability, and fairness in the use of artificial intelligence (AI) in knowledge management (KM).
-
I got an AI to impersonate me and teach me my own course – here’s what I learned about the future of education
As AI becomes ever more central to education, the human teacher becomes more important, not less.
-
What are the key challenges in implementing AI in KM, and how can they be addressed?
AI in KM entails addressing technological, organisational, and ethical challenges in knowledge creation, storage, sharing, and application.
-
‘Are you joking, mate?’ AI doesn’t get sarcasm in non-American varieties of English
There's still a long way to go until the promised benefits of AI are enjoyed by all.
-
‘Godfather of AI’ now fears it’s unsafe. He has a plan to rein it in
Aiming to build safer, more trustworthy AI by combining large language models with other AI technologies.
-
The benefits of narrow AI, and the challenges in its creation
Narrow AI systems could be valuable for both efficiency and safety. Researchers look at two challenges involved in creating them.
-
Can conversational AI agents subtly manipulate our intentions?
Conversational AI agents could be extremely effective at covertly influencing us, creating a so-called "intention economy."
