AI.Proof PODCASTS

AI.Proof

AI.Proof promotes future-focused media literacy, critical reflection and ethical AI use among youth workers, youth organisations and young people. It strengthens digital readiness and resilience by connecting AI specialists with newcomers and encouraging dialogue in education and civic spaces. CO-funded by the European Union. Views and opinions expressed are however those of the author(s) only and do not necessarily reflect those of the European Union or the European Education and Culture Executive Agency (EACEA). Neither the European Union nor EACEA can be held responsible for them.

  1. 14h ago

    Episode 17 (original language): What is AI competence compared to digital competence?

    Digital skills are no longer enough to navigate a world shaped by artificial intelligence. In this episode, Ibai Martínez explains how AI competence builds on basic digital competence while adding critical thinking, ethical judgement and an understanding of bias and system limitations. The discussion also explores employability, AI in education and practical ways to help beginners learn with confidence.In this episode:The difference between digital competence and AI competence.Why basic digital skills remain the foundation for learning to use AI.How AI literacy supports employability and helps people use AI as a tool rather than fear replacement.Why bias, hallucinations and the limits of training data require critical evaluation.How Google Teachable Machine can make AI bias and limitations visible in the classroom.Links & resources:AI.Proof Project Website https://ai-proof.euEuropean Commission - Digital Competence Framework for Citizens https://joint-research-centre.ec.europa.eu/digcomp/digcomp-framework_enEuropean Commission - Artificial Intelligencehttps://digital-strategy.ec.europa.eu/en/policies/artificial-intelligenceGoogle Teachable Machinehttps://teachablemachine.withgoogle.comUNESCO Guidance for Generative AI in Education and Research https://www.unesco.org/en/articles/guidance-generative-ai-education-and-researchErasmus+ Programme https://erasmus-plus.ec.europa.euGuest / contact:Ibai Martínez - Episode guestArtificial Intelligence Engineering focused on Data Science and Machine Learning me@ibaimart.comPodcast: AI.Proof#AIProof #AI #DigitalSkills #AILiteracy #EthicalAI #ErasmusPlusCO-funded by the European Union.Views and opinions expressed are however those of the author(s) only and do not necessarily reflect those of the European Union or the European Education and Culture Executive Agency (EACEA). Neither the European Union nor EACEA can be held responsible for them. Licence notice:This podcast episode is licensed under Creative Commons Attribution – Non-Commercial – No Derivatives 4.0 International (CC BY-NC-ND 4.0). You may share and distribute this episode provided that the author is credited, the use is non-commercial and the episode is not modified.Music, jingles, logos, trademarks, images and third-party content are excluded from this licence, unless otherwise stated.

    Episode 17 (original language): What is AI competence compared to digital competence?

  2. 4d ago

    Episode 16: AI and the environment – Impact of increased AI use on the environment

    “This English version was translated using artificial intelligence (HeyGen https://app.heygen.com/home) and uses an AI-generated reproduction of the speaker’s voice.” In this episode, professor Michael Klesel discusses the environmental impact of AI on the environment, how we can reduce our own environmental impact through AI, and strategies for smart everyday use of AI that are less resource intensive. In this episode: What is the impact of an increased use of AI on the environment?How can we make people aware of the environmental impact of AI?Which aspect of AI causes the most negative impact globally? Links & resources: Research paper: Good for the Planet, Bad for Me? Intended and Unintended Consequences of AI Energy Consumption Disclosure - by guest Michael Klesel: https://dl.acm.org/doi/10.1145/3772318.3791015 AI.Proof Project Website:https://ai-proof.eu United Nations – Report of the Independent International Scientific Panel on AI: https://www.un.org/independent-international-scientific-panel-ai/en/preliminary-report OECD: Empowering Learners for the Age of AI - An AI Literacy Framework for Primary and Secondary Education: https://www.oecd.org/en/publications/empowering-learners-for-the-age-of-ai_65cd27d4-en.html European Commission – Artificial Intelligence :https://digital-strategy.ec.europa.eu/enUNESCO Recommendation on the Ethics of AI: https://www.unesco.orgUNICEF – Artificial Intelligence for Children: https://www.unicef.org Guest / contact: Professor Dr. Michael Klesel – Professor of Business Informatics, specializing in Artificial Intelligence and Entrepreneurship at the Frankfurt University of Applied Sciences, Frankfurt am Main (Germany), professional website: https://www.frankfurt-university.de/de/hochschule/fachbereich-3-wirtschaft-und-recht/kontakt/professor-innen/michael-klesel/ Member of Hessian.AI, the Hessian Center for Artificial Intelligence: https://hessian.ai/ personal website: https://www.klesel.info/ Recorded on May 6th, 2026, interview by Moritz Borchardt, film team Elif-Lea Borchardt, Nina Nozari, Richardt Werle Podcast: AI.Proof #AI #ArtificialIntelligence #SustainableAI #GreenAI #AIAndEnvironment #EnergyConsumption #ResponsibleAI #DigitalSustainability #AILiteracy #aiproof CO-funded by the European Union. Views and opinions expressed are however those of the author(s) only and do not necessarily reflect those of the European Union or the European Education and Culture Executive Agency (EACEA). Neither the European Union nor EACEA can be held responsible for them. Licence notice: This podcast episode is licensed under Creative Commons Attribution – Non-Commercial – No Derivatives 4.0 International (CC BY-NC-ND 4.0). You may share and distribute this episode provided that the author is credited, the use is non-commercial and the episode is not modified.Music, jingles, logos, trademarks, images and third-party content are excluded from this licence, unless otherwise stated. AI Translation and Video Adaptation Notice: This English-language version of the video podcast was created from the original German-language recording ⁠https://www.youtube.com/watch?v=qTavdv4G1Y4⁠ using the HeyGen AI system (https://www.heygen.com/).The spoken content was translated into English with the assistance of artificial intelligence and reproduced using an AI-generated or AI-replicated voice. The video was also digitally adapted so that the speakers’ lip movements correspond more closely to the translated English audio.The English-language version is therefore not an original English-language recording by the speakers. Both the audio and parts of the visual presentation have been artificially generated or digitally modified. The translated version was reviewed editorially before publication. In the event of any discrepancy, ambiguity or difference in meaning, the original German-language version shall prevail.

    Episode 16: AI and the environment – Impact of increased AI use on the environment

  3. Oct 9

    Episode 16: (original language): AI and the environment – Impact of increased AI use on the environment

    In this episode, professor Michael Klesel discusses the environmental impact of AI on the environment, how we can reduce our own environmental impact through AI, and strategies for smart everyday use of AI that are less resource intensive. In this episode: What is the impact of an increased use of AI on the environment? How can we make people aware of the environmental impact of AI? Which aspect of AI causes the most negative impact globally? Links & resources: Research paper: Good for the Planet, Bad for Me? Intended and Unintended Consequences of AI Energy Consumption Disclosure - by guest Michael Klesel: https://dl.acm.org/doi/10.1145/3772318.3791015 AI.Proof Project Website:https://ai-proof.eu Erasmus+ Programme – https://erasmus-plus.ec.europa.eu United Nations – Report of the Independent International Scientific Panel on AI: //www.un.org/independent-international-scientific-panel-ai/en/preliminary-report OECD: Empowering Learners for the Age of AI - An AI Literacy Framework for Primary and Secondary Education: https://www.oecd.org/en/publications/empowering-learners-for-the-age-of-ai_65cd27d4-en.html DARE Network:Handbook for Digital Citizenship Education: https://dare-network.eu/handbook-more-than-go-with-the-flow/ European Commission – Artificial Intelligence :https://digital-strategy.ec.europa.eu/en UNESCO Recommendation on the Ethics of AI: https://www.unesco.org UNICEF – Artificial Intelligence for Children: https://www.unicef.org Guest / contact: Professor Dr. Michael Klesel – Professor of Business Informatics, specializing in Artificial Intelligence and Entrepreneurship at the Frankfurt University of Applied Sciences, Frankfurt am Main (Germany), professional website: https://www.frankfurt-university.de/de/hochschule/fachbereich-3-wirtschaft-und-recht/kontakt/professor-innen/michael-klesel/ Member of Hessian.AI, the Hessian Center for Artificial Intelligence: https://hessian.ai/ personal website: https://www.klesel.info/ Recorded on May 6th, 2026, interview by Moritz Borchardt, film team Elif-Lea Borchardt, Nina Nozari, Richardt Werle Podcast: AI.Proof #AI #ArtificialIntelligence #SustainableAI #GreenAI #AIAndEnvironment #EnergyConsumption #ResponsibleAI #DigitalSustainability #AILiteracy #aiproof CO-funded by the European Union. Views and opinions expressed are however those of the author(s) only and do not necessarily reflect those of the European Union or the European Education and Culture Executive Agency (EACEA). Neither the European Union nor EACEA can be held responsible for them. Licence notice: This podcast episode is licensed under Creative Commons Attribution – Non-Commercial – No Derivatives 4.0 International (CC BY-NC-ND 4.0). You may share and distribute this episode provided that the author is credited, the use is non-commercial and the episode is not modified.Music, jingles, logos, trademarks, images and third-party content are excluded from this licence, unless otherwise stated.

    Episode 16: (original language): AI and the environment – Impact of increased AI use on the environment

  4. Oct 5

    Episode 15: AI lies. - How to recognize and fight disinformation in the age of AI?

    Can AI actually "lie"? Jes Folden Hyldig, who works on cultural and AI-related projects at a public library, joins Lisa to unpack why that framing is a bit of a misnomer — and whyAI-generated disinformation is still a growing problem regardless. The conversation covers hallucinations, why convincing fake content is now so easy and cheap to produce at scale, the limits of AI detection tools, and who should be responsible for catching it. It closes with grounded, practical habits for staying critical without falling into constant suspicion. In this episode. Why "AI lies" is a misnomer — disinformation from AI is either deliberate misuse by humans or the result of AI hallucination, not intent How AI-generated disinformation differs from traditional fake news: it's cheaper, faster, and can flood the internet with content supporting a single false claim Why young people aren't automatically better at spotting AI content just because they're "digital natives" — and the cognitive risk of offloading too much thinking to AI The blurring line between real and fake video, images, and voice — and why even experts get fooled in both directions The particular risk of AI systems that feel human-relatable, including emotional over-reliance on chatbots and its mental health risks Where responsibility should sit: platforms, users, and the limits of trying to regulate AI-generated content Three practical habits: question content that flatters your own biases or feels "too good to be true," and protect your capacity for deep, sustained thinking through offline hobbiesor reading Links & resources: Chatbotpsychosis — overview of the phenomenon Jes references     What are AI hallucinations? (IBM explainer)      Hallucination (artificial intelligence) — background andtechnical context (Wikipedia) EU Digital Services Act — the regulatory frameworkrelevant to platform responsibility for harmful content       EU Artificial Intelligence Act — for context on how theEU regulates AI systems generally Guest / contact: Jes Folden Hyldig - works on cultural and AI-related development projects at a public library in Denmark. LinkendIn - https://www.linkedin.com/in/jesfh/ Podcast: AI.Proof #AI #Disinformation #AIHallucinations #Deepfakes #MediaLiteracy #CriticalThinking #AIEthics #ResponsibleAI #AIProof CO-funded by the European Union. Views and opinions expressed are however those of the author(s) only and do not necessarily reflect those of the European Union or the European Education and Culture Executive Agency (EACEA). Neither the European Union nor EACEA can be held responsible for them. Licence notice: This podcast episode is licensed under Creative Commons Attribution – Non-Commercial – No Derivatives 4.0 International (CC BY-NC-ND 4.0). You may share and distribute this episode provided that the author is credited, the use is non-commercial and the episode is not modified.Music, jingles, logos, trademarks, images and third-party content are excluded from this licence, unless otherwise stated.

    Episode 15: AI lies. - How to recognize and fight disinformation in the age of AI?

  5. Sep 28

    Episode 14: When AI goes wrong, who is responsible - for automated cars and beyond?

    “This English version was translated using artificial intelligence (HeyGen https://app.heygen.com/home) and uses an AI-generated reproduction of the speaker’s voice.”When an autonomous AI systemca uses harm, who should be held responsible: the developer, manufacturer, operator or user? This episode explores how accountability changes across human-in-the-loop, human-on-the-loop and human-out-of-the-loop systems, using autonomous vehicles, drones, finance, industry and workplace decisions as examples. The discussion highlights why meaningful human oversight, robust safety protocols, clear legal frameworks and AI literacy are essential. In this episode: How responsibility shifts depending on the level of human control and supervision. The difference between human-in-the-loop, human-on-the-loop and human-out-of-the-loop systems. What autonomous cars, drones and workplace decision-making reveal about real-world AI risks. Why current legal and ethical frameworks struggle when an AI-driven decision causes harm.How testing, safety protocols, training and critical awareness can support responsible AI use. Links & resoruces: AI.Proof Project Website - ⁠https://ai-proof.eu⁠ European Commission - Artificial Intelligence - ⁠https://digital-strategy.ec.europa.eu/en/policies/artificial-intelligence⁠ European Commission - Regulatory Framework for AI - ⁠https://digital-strategy.ec.europa.eu/en/policies/regulatory-framework-ai⁠ UNESCO Recommendation on the Ethics of AI - ⁠https://www.unesco.org/en/artificial-intelligence/recommendation-ethics⁠ NIST AI Risk Management Framework - ⁠https://www.nist.gov/itl/ai-risk-management-framework⁠      Guest / contact:    Kaitin Venero Alonso Faculty of International Relations at the University of Deusto. Kaitin.venero@opendeusto.eu Podcast: AI.Proof #AIProof#AI #EthicalAI #AtonomousSystems #DigitalSkills #ErasmusPlus #AIProof #ArtificialIntelligence #AIResponsibility #EthicalAI #ErasmusPlus CO-funded by the European Union. Views and opinions expressed are however those of the author(s) only and do not necessarily reflect those of the European Union or the European Education and Culture Executive Agency (EACEA). Neither the European Union nor EACEA can be held responsible for them. Licence notice: This podcast episode is licensed under Creative Commons Attribution – Non-Commercial – No Derivatives 4.0 International (CC BY-NC-ND 4.0). You may share and distribute this episode provided that the author is credited, the use is non-commercial and the episode is not modified.Music, jingles, logos, trademarks, images and third-party content are excluded from this licence, unless otherwise stated. AI Translation and Video Adaptation Notice:This English-language version of the video podcast was created from the original Spanish-language recording ⁠https://www.youtube.com/watch?v=qTavdv4G1Y4⁠using the HeyGen AI system (https://www.heygen.com/).The spoken content was translated into English with the assistance of artificial intelligence and reproduced using an AI-generated or AI-replicated voice. The video was also digitally adapted so that the speakers’ lip movements correspond more closely to the translated English audio.The English-language version is therefore not an original English-language recording by the speakers. Both the audio and parts of the visual presentation have been artificially generated or digitally modified. The translated version was reviewed editorially before publication. In the event of any discrepancy, ambiguity or difference in meaning, the original German-language version shall prevail.

    Episode 14: When AI goes wrong, who is responsible - for automated cars and beyond?

  6. Sep 25

    Episode 14: (original language): When AI goes wrong, who is responsible - for automated cars and beyond?

    When an autonomous AI systemca uses harm, who should be held responsible: the developer, manufacturer, operator or user? This episode explores how accountability changes across human-in-the-loop, human-on-the-loop and human-out-of-the-loop systems, using autonomous vehicles, drones, finance, industry and workplace decisions as examples. The discussion highlights why meaningful human oversight, robust safety protocols, clear legal frameworks and AI literacy are essential. In this episode: How responsibility shifts depending on the level of human control and supervision. The difference between human-in-the-loop, human-on-the-loop and human-out-of-the-loop systems. What autonomous cars, drones and workplace decision-making reveal about real-world AI risks. Why current legal and ethical frameworks struggle when an AI-driven decision causes harm.How testing, safety protocols, training and critical awareness can support responsible AI use. Links & resoruces: AI.Proof Project Website - https://ai-proof.eu European Commission - Artificial Intelligence - https://digital-strategy.ec.europa.eu/en/policies/artificial-intelligence European Commission - Regulatory Framework for AI - https://digital-strategy.ec.europa.eu/en/policies/regulatory-framework-ai UNESCO Recommendation on the Ethics of AI - https://www.unesco.org/en/artificial-intelligence/recommendation-ethics NIST AI Risk Management Framework - https://www.nist.gov/itl/ai-risk-management-framework      Guest / contact:    Kaitin Venero Alonso Faculty of International Relations at the University of Deusto. Kaitin.venero@opendeusto.eu Podcast: AI.Proof #AIProof#AI #EthicalAI #AtonomousSystems #DigitalSkills #ErasmusPlus #AIProof #ArtificialIntelligence #AIResponsibility #EthicalAI #ErasmusPlus CO-funded by the European Union. Views and opinions expressed are however those of the author(s) only and do not necessarily reflect those of the European Union or the European Education and Culture Executive Agency (EACEA). Neither the European Union nor EACEA can be held responsible for them.Licence notice:This podcast episode is licensed under Creative Commons Attribution – Non-Commercial – No Derivatives 4.0 International (CC BY-NC-ND 4.0). You may share and distribute this episode provided that the author is credited, the use is non-commercial and the episode is not modified.Music, jingles, logos, trademarks, images and third-party content are excluded from this licence, unless otherwise stated.

    Episode 14: (original language): When AI goes wrong, who is responsible - for automated cars and beyond?

  7. Sep 21

    Episode 13: Between creativity and distruction - the impact of AI on creative industries and culture

    “This English version was translated using artificial intelligence (HeyGen https://app.heygen.com/home) and uses an AI-generated reproduction of the speaker’s voice.” In this episode, director Elif Lea Borchardt and actor Nina Nozari discuss the impact of AI on their work as young professionals in the creative industries and the larger scale impact this impact symbolizes – from the value of learning to how we create culture. In this episode: What is the impact of AI on the creative industries? Are the creative industries the canary in the coal mine when it comes to how we approach the value of learning and culture? What is the impact of AI on different generations and their consumption movies and shorter form videos and music? What happens to us when we only engage with AI-generated “art” Links & resources: AI.Proof Project Website https://ai-proof.eu Erasmus+ Programme https://erasmus-plus.ec.europa.eu  United Nations – Report of the Independent International Scientific Panel on AI https://www.un.org/independent-international-scientific-panel-ai/en/preliminary-report OECD: Empowering Learners for the Age of AI - An AI Literacy Framework for Primary and Secondary Educationhttps://www.oecd.org/en/publications/empowering-learners-for-the-age-of-ai_65cd27d4-en.html   DARE Network: Handbook for Digital Citizenship Educationhttps://dare-network.eu/handbook-more-than-go-with-the-flow/ European Commission – Artificial Intelligence https://digital-strategy.ec.europa.eu/enUNESCO Recommendation on the Ethics of AIhttps://www.unesco.org/en UNICEF – Artificial Intelligence for Children ⁠⁠https://www.unicef.org/globalinsight/artif⁠ Guest / contact: Elif Lea Borchardt and Nina Nozari are filmmakers educated at the SAE Institute https://www.sae.edu/deu/campuses/frankfurt/ Elif Lea Borchardt on crew united: https://www.crew-united.com/de/Elif-Lea-Borchardt_867905.html Nina Nozari on crew united : https://www.crew-united.com/de/Nina-Nozari_882263.html Recorded on May 6th, 2026, film team Elif Lea Borchardt, Nina Nozari, Richardt Werle Podcast: AI.Proof #ArtificialIntelligence #CreativeIndustries #AIandCreativity#AIandArt #FilmIndustry #FutureOfCreativity #DigitalCulture#AILiteracy #AIandCulture #FutureOfWork CO-funded by the European Union. Views and opinions expressed are however those of the author(s) only and do not necessarily reflect those of the European Union or the European Education and Culture Executive Agency (EACEA). Neither the European Union norEACEA can be held responsible for them. Licence notice: This podcast episode is licensed under Creative Commons Attribution – Non-Commercial – No Derivatives 4.0 International (CC BY-NC-ND 4.0). You may share and distribute this episode provided that the author is credited, the use is non-commercial and the episode is not modified.Music, jingles, logos, trademarks, images and third-party content are excluded from this licence, unless otherwise stated. AI Translation and Video Adaptation Notice: This English-language version of the video podcast was created from the original German-language recording https://www.youtube.com/watch?v=qTavdv4G1Y4 using the HeyGen AI system (https://www.heygen.com/).The spoken content was translated into English with the assistance of artificial intelligence and reproduced using an AI-generated or AI-replicated voice. The video was also digitally adapted so that the speakers’ lip movements correspond more closely to the translated English audio.The English-language version is therefore not an original English-language recording by the speakers. Both the audio and parts of the visual presentation have been artificially generated or digitally modified. The translated version was reviewed editorially before publication. In the event of any discrepancy, ambiguity or difference in meaning, the original German-language version shall prevail.

    Episode 13: Between creativity and distruction - the impact of AI on creative industries and culture

  8. Sep 19

    Episode 13 (original language): Between creativity and distruction - the impact of AI on creative industries and culture

    In this episode, director Elif Lea Borchardt and actor Nina Nozari discuss the impact of AI on their work as young professionals in the creative industries and the larger scale impact this impact symbolizes – from the value of learning to how we create culture. In this episode: What is the impact of AI on the creative industries?Are the creative industries the canary in the coal mine when it comes to how we approach the value of learning and culture?What is the impact of AI on different generations and their consumption movies and shorter form videos and music?What happens to us when we only engage with AI-generated “art” Links & resources: AI.Proof Project Website – https://ai-proof.eu Erasmus+ Programmehttps://erasmus-plus.ec.europa.eu  United Nations – Report of the Independent International Scientific Panel on AI https://www.un.org/independent-international-scientific-panel-ai/en/preliminary-report OECD: Empowering Learners for the Age of AI - An AI Literacy Framework for Primary and Secondary Education https://www.oecd.org/en/publications/empowering-learners-for-the-age-of-ai_65cd27d4-en.html   DARE Network: Handbook for Digital Citizenship Education https://dare-network.eu/handbook-more-than-go-with-the-flow/ European Commission – Artificial Intelligence https://digital-strategy.ec.europa.eu/en UNESCO Recommendation on the Ethics of AI https://www.unesco.org/en UNICEF – Artificial Intelligence for Children ⁠https://www.unicef.org/globalinsight/artif Guest / contact: Elif Lea Borchardt and Nina Nozari are filmmakers educated at the SAE Institutehttps://www.sae.edu/deu/campuses/frankfurt/ Elif Lea Borchardt on crew united: https://www.crew-united.com/de/Elif-Lea-Borchardt_867905.html Nina Nozari on crew united : https://www.crew-united.com/de/Nina-Nozari_882263.html   Recorded on May 6th, 2026, film team Elif Lea Borchardt, Nina Nozari, Richardt Werle Podcast: AI.Proof #ArtificialIntelligence #CreativeIndustries #AIandCreativity#AIandArt #FilmIndustry #FutureOfCreativity #DigitalCulture#AILiteracy #AIandCulture #FutureOfWork CO-funded by the European Union. Views and opinions expressed are however those of the author(s) only and do not necessarily reflect those of the European Union or the European Education and Culture Executive Agency (EACEA). Neither the European Union norEACEA can be held responsible for them. Licence notice: This podcast episode is licensed under Creative Commons Attribution – Non-Commercial – No Derivatives 4.0 International (CC BY-NC-ND 4.0). You may share and distribute this episode provided that the author is credited, the use is non-commercial and the episode is not modified.Music, jingles, logos, trademarks, images and third-party content are excluded from this licence, unless otherwise stated.

    Episode 13 (original language): Between creativity and distruction - the impact of AI on creative industries and culture
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About

AI.Proof promotes future-focused media literacy, critical reflection and ethical AI use among youth workers, youth organisations and young people. It strengthens digital readiness and resilience by connecting AI specialists with newcomers and encouraging dialogue in education and civic spaces. CO-funded by the European Union. Views and opinions expressed are however those of the author(s) only and do not necessarily reflect those of the European Union or the European Education and Culture Executive Agency (EACEA). Neither the European Union nor EACEA can be held responsible for them.

Information

  • Creator
    AI.Proof
  • Years Active
    2026
  • Episodes
    20
  • Rating
    Clean
  • Copyright
    © AI.Proof
  • Show Website
    AI.Proof PODCASTS