ΑΙhub.org
 

Equitable climate mitigation – a webinar from Climate Change AI

by
22 February 2021



share this:
equitable climate mitigation

In this webinar from Climate Change AI you can hear from panellists in industry and academia as they discuss climate change mitigation. They consider how we can tackle climate change while addressing social inequalities, and investigate whether AI could help.

AIhub focus issue on climate action

Climate change mitigation requires substantial investment, technology development and political effort. However, this large-scale task cannot be accomplished without considering important ethical and social considerations. Climate change mitigation should be accomplished in such a way that historically marginalized and vulnerable groups across the world have equitable access to mitigation technologies, financial incentives, and social rewards. In this talk the panellists aim to identify challenges and opportunities for AI in this field.

You can watch the webinar recording below:

Taking part were:
Sergio Castellanos, Assistant Professor, University of Texas at Austin.
Donnel Baird, founder of BlocPower, a clean tech startup based in New York City.
Doris Han, lead engineer at BlocPower.

To find out more about past and future webinars organised by Climate Change AI, click here.



tags: ,


AIhub is dedicated to free high-quality information about AI.
AIhub is dedicated to free high-quality information about AI.




            AIhub is supported by:


Related posts :



AIhub coffee corner: Open vs closed science

The AIhub coffee corner captures the musings of AI experts over a short conversation.
26 April 2024, by

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




AIhub is supported by:






©2024 - Association for the Understanding of Artificial Intelligence


 












©2021 - ROBOTS Association