Machine Ethics Podcast episodes

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...

This is a bonus episode we're looking back over answers to our question: What scares you about AI?

Wendell Wallach, a prominent expert in ethics and governance of emerging technologies, discusses the moral complexities of AI and its societal impacts. He challenges the usefulness of traditional AI terminology and contrasts AGI skepticism with optimism. Wallach emphasizes the importance of a robust ethical framework alongside capitalism's pitfalls, such as wealth disparity. He explores ethical decision-making approaches and the need for collaboration between technologists and ethicists to ensure technology serves humanity's best interests.

In this special edition episode we hear vox-pops recorded at the AI Ethics, Risks and Safety Conference in Bristol on the 15th of May 2024. We hear about AI regulations, AI Standards, AI Ethics frameworks, principles, ethics guiding research, awareness of the ethics of AI, and explainable AI.

This episode we're chatting with Alex Shvartsman about what is our AI future, human crafted storytelling, the Generative AI use backlash, disclaimers for generated text, human vs AI authorship, practical or functional goals of LLMs, changing themes in science fiction, a diversity of international perspectives and more...