Mary Martin

“Can machines be therapists?” is a question receiving increased attention given the relative ease of working with generative artificial intelligence. Although recent (and decades-old) research has found that humans struggle to tell the difference between responses from machines and humans, recent findings suggest that artificial intelligence can... See more

intelligence has inadvertently become a ‘human success’-shaped cookie cutter we squish onto other species. Switching from baking to sports metaphors, we could say that everyone else – animals, amoebas, AIs and aliens – has to play the game on a field that we have laid out, according to rules that we have established and proven ourselves extremely... See more

Affective computing is being applied to political speeches, music, drama and visual arts to predict emotional reactions and enhance emotional expression. This interdisciplinary approach is not only advancing the capabilities of affective computing but also opening up new avenues for research and application.

The future applications of affective... See more

The present findings also show that it is possible to develop systems that can instantly interpret emotional cues to provide immediate and intuitive feedback in a wide range of situations. This could lead to scalable, cost-efficient applications in various domains where understanding emotional context is crucial, such as therapy and interpersonal... See more

While LLMs are designed to emulate human-like responses, this does not mean that this analogy extends to the underlying cognition giving rise to those responses

This is particularly important because there are already indications that many people who often interact with chatbots attribute consciousness to these systems. At the same time, the consensus among experts is that current AI systems are not conscious.