Browsing Tag
AI ethics
10 posts
8 principles from human ecology can help AI work for human well‑being
Dipesh Navsaria, University of Wisconsin-Madison; Lori DiPrete Brown, University of Wisconsin-Madison, and Soyeon Shim, University of Wisconsin-Madison Artificial…
Ads are coming to AI. Does that really have to be such a bad thing?
Matthias Balk/Getty Images Ilayaraja Subramanian, University of Canterbury American artificial intelligence (AI) company Anthropic this month attracted applause…
Why comparisons between AI and human intelligence miss the point
Aelitta / Getty Images Celeste Rodriguez Louro, The University of Western Australia and Jennifer Rodger, The University of…
AI-induced psychosis: the danger of humans and machines hallucinating together
‘Are you thinking what I’m thinking?’ DAVEsw Lucy Osler, University of Exeter On Christmas Day 2021, Jaswant Singh…
AI is providing emotional support for employees – but is it a valuable tool or privacy threat?
Does AI that monitors and supports worker emotions improve or degrade the workplace? Marta Sher/iStock via Getty Images…
Where does human thinking end and AI begin? An AI authorship protocol aims to show the difference
If students can’t demonstrate their thinking, how can professors know whether they are learning? SDI Productions via Getty…
Social media is teaching children how to use AI. How can teachers keep up?
Johanathan Woodworth, Mount Saint Vincent University Artificial intelligence (AI) is reshaping how students write essays, practise languages and…
Study of 1.1M papers reveals rise of AI in science
A massive analysis of over 1.1 million scientific papers reveals the steady and widespread adoption of AI writing tools by researchers, especially within the field of computer science.
More people are considering AI lovers, and we shouldn’t judge
Neil McArthur, University of Manitoba People are falling in love with their chatbots. There are now dozens of…
Study: AI assisted in over 13% of 2024 science papers
An analysis of vocabulary trends in 15 million scientific abstracts suggests large language models have had an unprecedented impact on academic writing, influencing at least 13.5% of papers published in 2024.