Booking Overview
Metrics
Episodes: 117
Frequency: Monthly
Rating: 5.0/5.0
Estimated listeners: 100 - 1,000
Listener location: United Kingdom
YouTube: 608 subscribers
Instagram: 168 followers
Contact Information
Publicly listed emails
hello@machine-ethics.net
Looking for the right person? Join Podseeker to find direct host and producer contacts and manage your podcast outreach.
Host
Ben Byford - AI ethics researcher, writer, and podcaster focused on the philosophical, social, and ethical implications of artificial intelligence.
Booking Intelligence
Booking Requirements
Recent Guest Discussions
Lawrence Sheraton - Ethical Reasoning, Moral Capabilities Of AI, AGI, Ethical Truth, And Contextual Approaches To Ethics
E.M. Lewis-Jong - Speech Recognition, Linguistic Diversity, Dataset Representation, AI Literacy, And The Social Effects Of Data Systems
Jonathan P. Strecker - AI In Education, Learning And Wisdom, Academic AI Use, Hallucinations, Trust, And Skills Atrophy
Demetrios Brinkmann - Machine Learning Operations, AI Agents, Conversational Interfaces, Productivity, And The Limitations Of Large Language Models
Rebecca Raper - AI Safety, Governance, Guardrails, Moral Assurance, Robotics, Inequality, And The Practical Benefits Of AI
Recent Topics
Episodes
117. Stories of AI with Simon Bell
September 28, 2026
This episode we're chatting with Simon Bell about the future of the internet, science fiction, GenAI as research assistant, enshitification, stories of AI fear, emergence, writing the monster AI into being, meditation and more...
116. Thinking ethically with Lawrence Sheraton
September 15, 2026
This time we're chatting with Lawrence Sheraton about models of economics, will AGI be ethical? moral capabilities of AI, an elusive obvious, how do we know what is right and wrong, “I feel, therefore I know Ethics”, the conditional / contextual nature of ethics, ethical truth, sycophantic and schizophrenic AI, ethical unlearning and more...
115. Data Collective with E.M. Lewis-Jong
August 25, 2026
This time we're chatting with E.M. about the promise of AI and making human connection easier, speech recognition and supporting linguistic diversity, making useful technologies that have a purpose, Mozilla data collective, under represented cultures in datasets, accidental monocultures with technology, negative uses of datasets, AI literacy, the instability of LLMs and more...
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Frequently asked questions
How do I get in touch with Machine Ethics Podcast episodes?
Machine Ethics Podcast episodes is hosted by Ben Byford. Its publicly listed email is hello@machine-ethics.net. For guest bookings, the host or producer is usually the best person to reach. Podseeker helps you find direct host and producer contacts and pitch from your own inbox.
What is the email for Machine Ethics Podcast episodes?
The publicly listed email for Machine Ethics Podcast episodes: hello@machine-ethics.net.
How many listeners does Machine Ethics Podcast episodes have?
Podseeker estimates Machine Ethics Podcast episodes reaches 100 to 1,000 listeners per episode. Only the publisher has exact numbers.
Who is an ideal guest for Machine Ethics Podcast episodes?
Machine Ethics Podcast episodes typically books rising experts. Typical guest background: Academic researchers, authors, educators, AI ethics or governance specialists, and experienced practitioners in artificial intelligence, machine learning, data, robotics, or human-computer interaction. Common among recent guests: Substantive research or professional work in AI, technology ethics, governance, education, data, or related fields; Practical experience developing, evaluating, or governing artificial intelligence systems; Published writing, specialized projects, or recognized expertise in a focused area of emerging technology. Recent guests include Lawrence Sheraton, E.M. Lewis-Jong, and Jonathan P. Strecker.
How hard is it to get booked on Machine Ethics Podcast episodes?
Medium. Guests usually need solid credentials in the topic and an idea that fits the show.
What topics does Machine Ethics Podcast episodes cover?
Recent episodes cover Artificial Intelligence, Ethics, Machine Learning, Technology, and Philosophy. Pitch an idea tied to one of these topics and mention a recent episode.
Publicly listed emails
hello@machine-ethics.net
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