Machine Ethics Podcast episodes

In this special live panel episode we recorded at the AI Ethics, Risks and Safety Conference 2025 in Bristol, May 2025. We chat about what is AI, predictions for the next 5 years - good and bad, the incoming wave of fraud, AI education and in education, copyright in the age of LLMs, the uncertainty of AI regulation, responsible AI in organisation, sovereign AI capabilities, the question: are we not being experimented on? Elderly AI, AI's impact on the creative industries and more...

In this deep dive, guests Hannah Smith, Director of Operations for the Green Web Foundation, and Boris Gamazachikov, Head of AI Sustainability at Salesforce, discuss the environmental impacts of AI, including energy consumption and water usage. Will Alpine, Co-founder of Enabled Emissions Campaign, advocates for aligning tech with climate science, while Mel Hogan, Associate Professor at Queen's University, critiques the socio-political implications of AI. Together, they explore pressing issues like the transparency of AI's energy usage and the necessity for urgent policy changes.

Pinar Guvenc, a design strategist at Sauer and educator in inclusive and ethical design, dives into the intersection of AI and co-design. They discuss whether AI is ready for society and vice versa, emphasizing the potential for AI to serve as a co-creator. Guvenc unpacks biases in design practices and the importance of involving diverse voices in the process. The conversation also touches on our digital lives, mindfulness in technology engagement, and the responsibility designers have in promoting inclusivity and ethics in the face of evolving tech.

Rachel Coldicutt, a seasoned technology researcher and founder of Careful Industries, shares her insights on the responsibility researchers have in creating socially responsible AI. She emphasizes the importance of fair access and the right to innovate, advocating for community-driven initiatives that empower individuals over centralized tech giants. The conversation navigates ethical challenges in the industry and the need for collective action, urging a shift from passive technology consumption to creative engagement in solving societal issues like climate change.

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.

For our 2024 round up episode we're again chatting with Karin Rudolph about the AI Ethics Risk and Safety Conference, the EU AI Act, agent based AI and Advertising! AI search and access to information, conflicting goals of many AI agents, weaponising disinformation, freedoms of speech, the LLM plateau, shadow AI, and more...

Olivia Gambelin, author of 'Implement Responsible AI' and consultant at Ethical Intelligence, returns to discuss the nuances of ethical AI strategies. She outlines crucial distinctions between responsible AI and general AI ethics, guiding businesses on how to align AI initiatives with societal values. Olivia stresses the importance of leadership and risk management in fostering innovation while maintaining integrity. Additionally, she explores the benefits of working with external consultants, predicting significant developments in AI over the next two years.

In this episode we're chatting to Caitlin about gender and AI, technology isn’t neutral, using technology for good, diversity creation and exploitation, lived experience expertise, co-creating technologies and AI life cycle, importance of success metrics, international treaties on AI and more...

Lisa Talia Moretti, a digital sociologist focused on technology's societal impacts, discusses pressing topics like data governance and AI literacy. She delves into ethical frameworks for organizations, emphasizing the importance of data rights and ownership amidst evolving regulations. Lisa explains the challenges of data sharing and the need for effective educational strategies to bridge the gap between technical and public understanding. Additionally, she highlights the complexities of AI training and the critical need for responsible governance in shaping a technology-driven future.

In this special filmed podcast swap episode I'm chatting with Alex Tsakiris about: should you learn to code to be in AI? stockfish chess AI, AI truth and What is Truth? Deductive and inductive learning, everything is statistics, statistical ethics, free will and conciousness, ESP, red teaming LLMs, Shadowbanning, and much more...