Machines that fail us

From educational institutions to healthcare professionals, from employers to governing bodies, artificial intelligence technologies and algorithms are increasingly used to assess and decide upon various aspects of our lives. However, the question arises: are these systems truly impartial and just in their judgments when they read humans and their behaviour? Our answer is that they are not. Despite their purported aim to enhance objectivity and efficiency, these technologies paradoxically harbor systemic biases and inaccuracies, particularly in the realm of human profiling. “Machines That Fail Us” investigates how AI and its errors are impacting on different areas of our society and how different societal actors are negotiating and coexisting with the human rights implications of AI. The "Machines That Fail Us" podcast series hosts the voices of some of the most engaged individuals involved in the fight for a better future with artificial intelligence. The first season of "Machines Tha

Machines that fail us is a education podcast hosted by Unknown Host, with 10 episodes on record and a Required Pod Score of 80. PitchCentric scores this show on Booking Probability, Listen Score, and live audience signals refreshed every 24 hours.

Unknown Host hosts Machines that fail us, a education show with 10 episodes published.

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  Episode #5

  Machines That Fail Us - Season 2, Episode 5: "Heating Algorithms: AI and the Climate Crisis"

  Jul 24, 202532 minS2

  <p>Artificial intelligence promises a smarter future, but at what cost? In this final episode of “Machines That Fail Us”, we take a look at the often-overlooked environmental footprint of AI’s relentless hunger for data and computing power.</p><p>We discuss these issues with Noman Bashir, the Computing & Climate Impact Fellow at the MIT Climate & Sustainability Consortium and a researcher at the MIT Computer Science & Artificial Intelligence Laboratory. </p>

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  Episode #4

  Machines That Fail Us - Season 2, Episode 4: Creative Machines: Rethinking Art with AI

  Jun 19, 202530 minS2

  <p>In this episode, we deal with the impacts of generative AI on art and aestethics, looking at how the rise and commercial success of tools such as Dall-E, Midjourney, and Sora have raised profound questions in the art world, and especially when it comes to visual arts. AI is reshaping how art is created, experienced, and valued. In this episode, we explore the opportunities and challenges artists face in collaborating with algorithmic tools, the ethical and creative questions emerging from machine-generated content, and the implications for authorship, originality, and cultural production.</p><p>On one hand, we’ll focus on...

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  Episode #3

  Machines That Fail Us - Season 2, Episode 3: Who governs AI? Global challenges in addressing harm

  May 15, 202533 minS2

  <p>In this episode, we delve into the global push to regulate artificial intelligence, as governments around the world are faced with the challenge to respond to its social and ethical challenges. With a focus on Latin America, Brazil in particular, we discuss how regulators are confronting the risks posed by deepfakes, online misogyny, and copyright violations, among other issues. </p><p>AI regulation is rapidly becoming a global priority, as policymakers confront the ethical, legal, and societal consequences of increasingly powerful technologies. From misinformation to algorithmic discrimination, the risks posed by AI systems are no longer hypothetical; they are...

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  Episode #2

  Machines That Fail Us - Season 2, Episode 2: "Teaching the Machine: The Hidden Work Behind AI’s Intelligence"

  Feb 27, 202532 minS2

  <p>The training and coding of AI systems, particularly generative ones, depend on the work of humans teaching machines how to think. This work includes content moderation and labeling, is often conducted under exploitative conditions in the Global South, and remains hidden from users' view. In this episode, we discuss these issues with Adio Dinika, a Research Fellow at the Distributed AI Research Institute (DAIR), where he investigates the invisible labor behind AI systems and how it reflects the various inequalities within the AI industry.</p><p>We often perceive AI tools as entirely artificial, if not almost magical. In...

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  Episode #1

  Machines That Fail Us - Season 2, Episode 1: "Artificial Lies and Synthetic Media: How AI Powers Disinformation"

  Jan 30, 202530 minS2

  <p >How is artificial intelligence being used for disinformation purposes? How effective can it be in influencing our reality and political choices? We discuss the rise of synthetic media with Craig Silverman, a reporter for ProPublica who covers voting, platforms, disinformation, and online manipulation, and one of the world’s leading experts on online disinformation. </p><p >In the first season of Machines That Fail Us, our focus was to explore a fundamental question: what do AI errors reveal about their societal impact and our future with artificial intelligence? Through engaging discussions with global experts from journalism, activism, entrepreneurship, and ac...

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