ΑΙhub.org
 

A year of new voices in AI

by
22 December 2022



share this:
White text "new voices in AI, a year on review", with greyscale portraits of the 9 interviewees in the background

There were nine interviews over 2022.

What started as a pile of loose post-it notes ideas has transformed into 9 interviews over the course of 2022. It has been a great privilege to speak to so many great researchers this year, here is a quick summary of all the interviews covering everything from NLP, to conservation, to swarm robotics.

The series began with David Adelani, talking about his work on NLP for low resource languages.

In the second episode Isabel Cachola talked about how she got into AI and her work on interpretability of NLP models.

For episode three Tanja Kaiser shared her journey to working with swarm robotics.

In this episode Maria De-Arteaga talked about her work on algorithmic fairness and human algorithm collaboration.

This episode Nicolo’ Brandizzi shared his journey into researching human AI interaction, and about CLAIRE’s rising research network.

In episode six of the series Oumaima Hajri talked about her work in ethical AI, and her own web series AI better world.

Chris Emezue shared his journey into AI, his work in machine learning, causality, and founding Lanfrica.

We took a trip into philosophy in this episode with Dimitri Coelho Mollo as he shared his work on philosophy, cognitive science and AI.

In the latest episode, Lily Xu shared her work and adventures in using AI for environmental conservation.

And finally we are excited to announce the next interview in the series is with Srija Chakraborty and will be going live in early 2023!



tags:


Joe Daly Engagement Manager for AIhub
Joe Daly Engagement Manager for AIhub




            AIhub is supported by:


Related posts :



Are emergent abilities of large language models a mirage? – Interview with Brando Miranda

We hear about work that won a NeurIPS 2023 outstanding paper award.
25 April 2024, by

We built an AI tool to help set priorities for conservation in Madagascar: what we found

Daniele Silvestro has developed a tool that can help identify conservation and restoration priorities.
24 April 2024, by

Interview with Mike Lee: Communicating AI decision-making through demonstrations

We hear from AAAI/SIGAI Doctoral Consortium participant Mike Lee about his research on explainable AI.
23 April 2024, by

Machine learning viability modelling of vertical-axis wind turbines

Researchers have used a genetic learning algorithm to identify optimal pitch profiles for the turbine blades.
22 April 2024, by

The Machine Ethics podcast: What is AI? Volume 3

This is a bonus episode looking back over answers to our question: What is AI?
19 April 2024, by

DataLike: Interview with Tẹjúmádé Àfọ̀njá

"I place an emphasis on wellness and meticulously plan my schedule to ensure I can make meaningful contributions to what's important to me."




AIhub is supported by:






©2024 - Association for the Understanding of Artificial Intelligence


 












©2021 - ROBOTS Association