Machine Ethics Podcast
Conversations on AI Ethics:
Interrogating technology, artificial intelligence and society.
This 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. Join in the conversation with us by getting in touch via email here or following us on Twitter and Instagram.
Listen to episodes here or subscribe on your favourite podcast app - e.g. iTunes, Spotify, Google podcasts, Stitcher and TuneIn. You can also support us by donating to the show on Patreon or ask a questions here.
The machine ethics podcast is made by www.ethicalby.design
This is our 100th episode! A super special look at AI and the Environment, we interviewed 4 experts for this DeepDive episode. We chatted about water stress, the energy usage of AI systems and data centres, using AI for fossil fuel discovery, the geo-political nature of AI, GenAI vs other ML alogrithms for energy use, demanding transparency on energy usage for training and operating AI, more AI regulation for carbon consumption, things we can change today like picking renewable hosting solutions, publishing your data, when doing "responsible AI" you must include the environment, considering who are the controllers of the technology and what do they want, and more...
This episode we're chat with Pinar Guvenc on “What's Wrong With” podcast, co-design, is AI ready for society and is society ready for AI? What is design? co-creation with AI as a stakeholder, bias in design, small language models, is AI making us lazy? human experience, digital life and our attention, and talking to diverse people...
This episode we're chatting with Rachel about AI taxonomy, innovating for everyone not just the few, Rachel's chronic honesty, responsibilities of researchers, socially responsible technology, ethics work as free labour, the right to repair, tinker, improve...
This episode we're chatting with Enrico Panai about the elements of the digital revolution, AI transforms data into information. HCI, the importance of knowing the tech as a tech philosopher, that ethicists should diagnose not judge, quality and making pasta, whether ethics is really a burden for companies or if you can run faster with ethics, don’t steal peoples life, and finding a Marx for the digital world.
