ΑΙhub.org
 

How to benefit from AI without losing your human self – a fireside chat from IEEE Computational Intelligence Society

by
02 December 2024



share this:

The image is a very detailed, black-and-white sketch-like illustration featuring a complex scene of interconnected figures and technology. The artwork portrays various individuals in different environments to represent the relationship between technology and humans. 

In the foreground, multiple people are surrounded by computer screens filled with data visualisations, charts, and technical information. A woman seated in an armchair appears deep in thought, surrounded by data-filled monitors. Beside her, a man leans over, using a tablet to assist with their inspection of a plant or tree. In the centre, a figure holds a large frame or screen displaying anatomical illustrations, representing the use of AI to analyse medical imagery. To the left, another person is intently observing a computer screen, while a second figure nearby is deeply immersed in analysing data. A woman dominates the right side of the composition, gazing upwards as if in contemplation or envisioning something beyond the immediate scene. The background features more people, including a family holding hands, and other abstract representations of data.Ariyana Ahmad & The Bigger Picture / Better Images of AI / AI is Everywhere / Licenced by CC-BY 4.0

In this fireside chat from IEEE Computational Intelligence Society, Tayo Obafemi-Ajayi (Missouri State University) asks Hava T. Siegelmann (University of Massachusetts, Amherst) about how to benefit from AI without losing your human self.

You can watch the chat in full below:




IEEE Computational Intelligence Society




            AIhub is supported by:


Related posts :



An introduction to science communication at #NeurIPS2024

Find out what we are planning to cover in our session at NeurIPS on 10 December.
04 December 2024, by

Unmasking AlphaFold to predict large protein complexes

“We’re giving a new type of input to AlphaFold. The idea is to get the whole picture, both from experiments and neural networks, making it possible to build larger structures."
03 December 2024, by

AIhub monthly digest: November 2024 – dynamic faceted search, the kidney exchange problem, and AfriClimate AI

Welcome to our monthly digest, where you can catch up with AI research, events and news from the month past.
29 November 2024, by

Improving calibration by relating focal loss, temperature scaling, and properness

In ML classification tasks, achieving high accuracy is only part of the goal; it's equally important for models to express how confident they are in their predictions.
28 November 2024, by

The Good Robot podcast: art, technology and justice with Yasmine Boudiaf

In this episode, Eleanor and Kerry chat to Yasmine Boudiaf, a researcher, artist and creative technologist who uses technology in beautiful and interesting ways to challenge and redefine what we think of as 'good'.
27 November 2024, by

AI in cancer research & care: perspectives of three KU Leuven institutes

This story is a collaboration of three Institutes that are working at the intersection of cell research, cancer research and care, and artificial intelligence.




AIhub is supported by:






©2024 - Association for the Understanding of Artificial Intelligence


 












©2021 - ROBOTS Association