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

            AUAI is supported by:



Subscribe to AIhub newsletter on substack



Related posts :

First 11 vs 11 humanoid soccer game played at RoboCup 2026

  26 Aug 2026
Watch highlights from this historic match.

#IJCAI-ECAI 2026: social media round-up part 2

  25 Aug 2026
Find out what's been happening during IJCAI-ECAI in Bremen.

The accountability vacuum: Agentic AI in high-stakes domains

, and   24 Aug 2026
In the latest issue of AI Matters, Larry Medsker and Sumit Virmani define the accountability vacuum faced by the deployment of agentic AI systems into an unprepared world.

Congratulations to the #IJCAI-ECAI 2026 distinguished paper award winners

  21 Aug 2026
Find out who has won the prestigious awards at the conference in Bremen.

The Machine Ethics podcast: MLops and HCI with Demetrios Brinkmann

In this episode, Ben chats to Demetrios about ML and MLops, narrow machine learning being still relevant, vibe coding, working with agents, and more.
AI pioneers

On Rashomon sets, the mathematics of simplicity, and why we don’t need black boxes: an interview with Cynthia Rudin

  19 Aug 2026
We speak to AI Pioneer Cynthia Rudin about interpretability, noise, and the case against complexity for complexity's sake.

#IJCAI-ECAI 2026: social media round-up part one

  18 Aug 2026
What have participants been getting up to during the opening days in Bremen?

#AAMAS2026 blue sky award winner: Foundation world models for agents in changing environments

  17 Aug 2026
Hear from the AAMAS 2026 Best Blue Sky Paper Award winner.



AUAI is supported by:







Subscribe to AIhub newsletter on substack




 















©2026.05 - Association for the Understanding of Artificial Intelligence