ΑΙhub.org
 

The Machine Ethics podcast: What excites you about AI?

by
13 October 2021



share this:

Hosted by Ben Byford, The Machine Ethics Podcast brings together interviews with academics, authors, business leaders, designers and engineers on the subject of autonomous algorithms, artificial intelligence, machine learning, and technology’s impact on society.

What excites you about AI?

In this bonus compilation episode we look back at our interviewees answers to the question: what excites you about our AI mediated future? We chat about rethinking our responsibility towards our world, algorithms that work for everyone not just the a few, social justice, solving coordination problems and humanitarian problems, growing as a humanity, building with the next generation in mind, and more…

This episode features David Gunkel, Bertram Malle, Carissa Véliz, Lydia Nicholas, Rohin Shah, Olivia Gambelin, Rishal Hurbans, Maria Axente, Pete Trainor.

Listen to the episode here:


About The Machine Ethics podcast

This podcast was created, and is run by, Ben Byford and collaborators. Over the last few years the podcast has grown into a place of discussion and dissemination of important ideas, not only in AI but in tech ethics generally.

The goal is to promote debate concerning technology and society, and to foster the production of technology (and in particular: decision making algorithms) that promote human ideals.

Ben Byford is a AI ethics consultant, code, design and data science teacher, freelance games designer with over 10 years of design and coding experience building websites, apps, and games. In 2015 he began talking on AI ethics and started the Machine Ethics podcast. Since then, Ben has talked with academics, developers, doctors, novelists and designers about AI, automation and society.

Join in the conversation with us by getting in touch via email here or following us on Twitter and Instagram.




The Machine Ethics Podcast




            AIhub is supported by:


Related posts :



The Berkeley Crossword Solver

We recently built the Berkeley Crossword Solver (BCS), the first computer program to beat every human competitor in the world’s top crossword tournament.
27 June 2022, by

Deep attentive variational inference

The expressivity of current deep probabilistic models can be improved by selectively prioritizing statistical dependencies between latent variables that are potentially distant from each other.
24 June 2022, by

AI regulations are a global necessity, panelists say

150 attendees come together to discuss intellectual property, disability rights, and global regulation benchmarks and more.
22 June 2022, by

AI and machine learning are improving weather forecasts, but they won’t replace human experts

Machine learning can help with some of the challenges faced by weather forecasters.
20 June 2022, by

Rethinking human-in-the-loop for artificial augmented intelligence

How do we build and evaluate an AI system for real-world applications?
17 June 2022, by

2022 AI Song Contest entries now live

Listen to, and vote on, the entries in this year's AI song contest.
16 June 2022, by





©2021 - Association for the Understanding of Artificial Intelligence


 












©2021 - ROBOTS Association