A space to explore, share and shape the issues facing social and behavioral scientists
David Canter considers some implications of ChatGPT and what it tells us about real intelligence, general, artificial or otherwise.
The role of AI in the production of research papers is rapidly moving from being a futuristic vision, towards an everyday reality; a situation with significant consequences for research integrity and the detection of fraudulent research. Rebecca Lawrence and Sabina Alam argue that for publishers, collaboration and open research workflows are key to ensuring the reliability of the scholarly record.
ChatGPT is by no means a perfect accessory for the modern academic – but it might just get there.
The authors have identified a convergence among architectures, reflecting a combination of neural, behavioral and computational studies and so have begun a communitywide effort to capture this convergence.
According to NIST’s Reva Schwartz, bias manifests itself not only in artificial intelligence algorithms and the data used to train them, but also in the societal context in which AI systems are used.
David Canter follows his concern that psychologists are losing contact with people by considering how computers are presented as replacements for human ‘intelligence’. This ignores the importance of in situ person to person contact, which has been shown by the COVID pandemic to be so crucial for people.
At the moment, little guidance, policy or oversight is available regarding technology, AI and academic integrity for teachers and educational leaders.
As I write this, I am using text-to-speech technology, a nifty online feature that enables the reader to listen to, […]
The big idea The scientific community worldwide has mobilized with unprecedented speed to tackle the COVID-19 pandemic, and the emerging […]
Transcribing can be a pain, and although recent progress in speech recognition software has helped, it remains a challenge. Speech recognition programs, do, however, raise ethical/consent issues: what if person-identifiable interview data is transcribed or read by someone who was not given the consent to do so? Furthermore, some conversational elements aren’t transcribed well by pattern recognition programs.
Most institutions see the market as the only legitimate form of organization, but different visions towards public policy, some involving artificial intelligence, have been the subject of consideration from academics and politicians alike. Under what circumstances, and to what extent, could artificial intelligence replace the market as the end-all guiding force in crafting reasonable public policy? Brexit may play a leading role in the transition.
Outsourcing our memories — or actually forgetting once-vital skills that no longer matter in our daily lives — has always been with humanity. But how does the drift to artificial intelligence reflect what’s always been the case versus what should be a special case?
