The Artificial Human

Conspiracy theories—once confined to fringe communities—have entered the mainstream.Social media has supercharged outlandish narratives, giving them an air of legitimacy through viral sharing. With generative AI now capable of producing hyper-realistic images, videos, and audio, the boundaries between fact and fiction are more blurred than ever. It feels almost inevitable that AI will further amplify conspiracy theories in public and online discourse.But perhaps the future isn’t quite so bleak. Aleks and Kevin explore how AI could actually help debunk conspiracy theories and combat the flood of misinformation online.They speak with the team behind 'Debunk-bot', an AI chatbot that has shown remarkable success in shifting people’s beliefs around conspiracy theories. They also talk to Mick West, who has spent decades debunking falsehoods, about how AI might help reduce the impact of dangerous conspiracies—and what role humans must play in guiding those who find their way out of conspiracy rabbit holes with the help of a bot.Join Aleks and Kevin as they investigate how AI can help us separate fact from fiction. And if you have a question about AI, email us at theartificialhuman@bbc.co.uk.

Darian Bold, Head of Elective Care at NHS England, discusses innovative approaches to patient journeys, focusing on AI's transformative potential. Jess Morley, a data ethicist from Yale, emphasizes the need for responsible AI usage in healthcare. They dive into how AI can alleviate NHS challenges, especially in stroke diagnosis and treatment. The conversation highlights the importance of human oversight in tech integration and the ethical considerations that must guide AI development to improve patient outcomes. Can AI truly revolutionize healthcare?

Ever wondered what others are feeling but can’t quite read their emotions? Chris, a listener, emailed us with this exact dilemma. Partly due to being neurodivergent, he struggles to interpret the emotions of those around him—and even his own emotional reactions. So, he asked us: Could AI translate emotions for him?In this episode, Aleks and Kevin dive into the fascinating and complex world of Emotional AI. They start with Professor Andrew McStay, head of the Emotional AI Lab at Bangor University, who shares the long—and surprising—history of humans trying to decode emotions through technology. He also uncovers the potential risks of trusting an AI system to get inside people’s heads.Then, they meet Dr. Amir-Hossein Karimi, whose team at the University of Waterloo has developed an AI specifically designed to recognise emotions—just like what Chris is looking for. Could this be the solution? Dr. Karimi breaks down how this cutting-edge AI works, how it was created, and how a mix of tech innovation and human expertise could potentially help people better understand the emotions of others.But should this type of AI be used at all? Do the potential benefits outweigh the risks? Aleks and Kevin explore both sides.Got a question about AI? Email us at theartificialhuman@bbc.co.uk.

Sometimes, we get odd questions at the Artificial Human - ‘Why has my gran’s facebook feed been taken over by Shrimp Jesus?’ definitely raised eyebrows.Kevin and Aleks embark on a journey into the weird and wonderful world of ‘AI Slop’ - mass produced, low quality AI images that have spread like wildfire over Social Media platforms - with Shrimp Jesus being one of the most prominent, and bizarre, examples.They’ll speak with Renee Di Resta, about her study that reveals how algorithmic systems, designed to maximize engagement, have allowed AI slop to take over social media feeds - not because it's valuable, but because it's engineered to be highly clickable and shareable, gaming the algorithms for more impressions, likes, and comments. And it turns out, those impressions can lead to money - BIG money... for a very select few. Aleks and Kevin talk with investigative journalist Jason Koebler about the hidden cottage industry producing the Slop - a community primarily from the Global South, trying to make money from social media reward programmes. With the help of various apps, online tutorials and hacker-like methods of avoiding spam filters, people are flocking to social media hoping to strike gold with viral images, like Shrimp Jesus.But, will this AI Slop gold rush be the death of Social Media as we know it? And what happens to us when we just assume that anything we see online is simply not real.And remember, if you have a question about AI that you’d like us to answer for you, get in touch with theartificialhuman@bbc.co.ukPresenters: Aleks Krotosksi and Kevin Fong Producer: Elizabeth Ann Duffy Researcher: Emily Esson Engineer: Barry Jackson

Explore how AI is transforming the job market and reshaping traditional application methods. Discover innovative strategies for job seekers navigating this new landscape, including resume enhancements and emotional dynamics during interviews. Delve into the ethical implications of using AI in recruitment and the historical biases in algorithms. The discussion highlights both the opportunities and challenges AI presents for job hunters, emphasizing the need to adapt in an increasingly automated hiring process.

Artificial Intelligence is in our homes, schools and workplaces. What does this mean for us?In 'The Artificial Human,' Aleks Krotoski and Kevin Fong set out to 'solve' AI. Or at the very least, to answer our questions about it. These are the questions that really matter to us - is AI smarter than me? Could AI make me money? Will AI save my life? They'll pursue the answer by speaking to those closest to the forefront of AI-related innovation. By the end of each programme, the subject will be a little clearer - for us, and for themselves.In this episode, Lucy wants to know; could AI make my Glastonbury better?Lucy is attending the Glastonbury festival this year for the fifth time. She loves it and always has a really memorable experience, but it could be improved without the queues for the bars and the toilets, and maybe with a better idea of how to get from stage to stage in the shortest possible time. Could AI help? Aleks and Kevin don't have all the answers, but they bring intelligence, curiosity and wit to the journey, seeking out the facts for us and speaking to those who are currently shaping our AI futures. This is very much a shared journey to get to the bottom of our deepest hopes and fears about these world changing technologies.

Explore the environmental impact of AI energy consumption, with surprising figures on data center energy use. Discuss Google's investments in data centers and challenges in measuring AI energy usage. Highlight the importance of energy-efficient solutions and transparency for a green energy future.

Developers have been trying to create driverless cars since the 1920s. Numerous iterations have come into being and fallen away over the years - radio controlled cars, electronic guide systems buried into roads, lidar, radar, computer vision, but with the roll out of AI, we seem closer than ever to getting from A to B without having to touch the wheel.In fact, in several places in the United States, Driverless Cars are already on the streets - albeit in a limited scope - ferrying users across the cities of Phoenix and San Francisco. And yet here in the UK? There are few autonomous vehicles in select locations, such as airports. But we’re unlikely to be hailing a cab without a driver in the near future? Why?Aleks and Kevin are all set to find out. They’ll talk to Elaine Moore, who has been a frequent passenger in driverless cabs in San Francisco. Dr. Jack Stilgoe, leader of the Driverless Futures Project, and engineer Paul Newman who is developing autonomous vehicle software here in the UK. They’ll learn about the practical, legal, ethical and technical needs that autonomous vehicles will need to meet in order to function, how the fabric of cities might need to change for them to operate, and just how soon driverless cars will be able to safely operate on UK streets.If you want to ask to answer your burning question on AI, please get in touch at theartificialhuman@bbc.co.uk

Artificial Intelligence is in our homes, schools and workplaces. What does this mean for us?In 'The Artificial Human,' Aleks Krotoski and Kevin Fong set out to answer the questions that really matter to us - is AI smarter than me? Could AI make me money? Will AI save my life? They'll pursue the answer by speaking to those closest to the forefront of AI innovation. In this episode, listener Martha wants to know; why the builders of these technologies are projecting human like qualities on to machines and what the consequences for society might be. When we talk to a chatbot we can't help behave like there's a mind on the other end - but there isn't. An AI can neither 'think', 'believe' or 'befriend' yet we keep using this language about them. When does that become a problem?Aleks and Kevin don't have all the answers, but they bring intelligence, curiosity and wit as they get to the bottom of our deepest hopes and fears about these world changing technologies.If you have question about AI email Kevion and Aleks theartificialhuman@bbc.co.uk

Artificial Intelligence is in our homes, schools and workplaces. What does this mean for us?In 'The Artificial Human,' Aleks Krotoski and Kevin Fong set out to 'solve' AI. Or at the very least, to answer our questions about it. These are the questions that really matter to us - is AI smarter than me? Could AI make me money? Will AI save my life? They'll pursue the answer by speaking to those closest to the forefront of AI-related innovation. By the end of each programme, the subject will be a little clearer - for us, and for themselves. In this episode, listener Val wants to know; 'Can AI look after me in old age?'Val has experience of looking after elderly relatives, and she's aware that it can take its toll. It's made her reflect on what her own future might look like. Will AI be able help her to be independent for longer? And if so, how? Aleks and Kevin don't have all the answers, but they bring intelligence, curiosity and wit to the journey, seeking out the facts for us and speaking to those who are currently shaping our AI futures. This is very much a shared journey to get to the bottom of our deepest hopes and fears about these world changing technologies.