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 :

Three ways to avoid being fooled by AI slop

  24 Jun 2026
Global society makes billions of images and uploads hundreds of thousands of hours of video on the internet every day. The problem is, some of this content is misleading or downright wrong.

Engineering Out Loud: S13E1 – How many robots can a single human supervise?

  22 Jun 2026
Professor Julie Adams describes the research showing that one person can supervise more than 100 autonomous ground and aerial robots.

Everything, eco-where, AI at once?

Laura Martinez Agudelo builds on her research of visual representations of ecology and digitalisation to explore how "AI eco-imagery" is portrayed.

AI is making journalistic language more repetitive and predictable – and it’s a problem for all of us

  17 Jun 2026
What happens to language when a growing amount of text published in the press, online and on social media is written by machines?
monthly digest

AIhub monthly digest: June 2026 – biodiversity, resource allocation, and color metaphors

  16 Jun 2026
Welcome to our monthly digest, where you can catch up with AI research, events and news from the month past.

AAAI presidential panel – AI agents

  15 Jun 2026
Experts discuss AI agents, one of the topics covered in the AAAI Future of AI Research report.

Interview with AAAI Fellow Tanya Berger-Wolf: AI for ecology, biodiversity, and conservation

  11 Jun 2026
Find out about Tanya work on a foundation model for biology and the insights that this can provide.

Statistical or embodied? Comparing people and LLMs in their processing of color metaphors: an interview with Douglas Guilbeault

  09 Jun 2026
We learn what implications color metaphors and synaesthesia have for human and AI cognition.



AUAI is supported by:







Subscribe to AIhub newsletter on substack




 















©2026.05 - Association for the Understanding of Artificial Intelligence