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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. 4d ago

    Episode 19: Whom does AI serve? And why does this matter to me?

    “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.” Artificial intelligence services are useful, but they also collect data that can benefit technology companies, advertisers and public institutions. In this episode, Unai Chacón examines whogains from AI systems and why data privacy matters to every user. The discussion offers practical guidance on protecting sensitive information, evaluating AI-generated answers and demanding clearer explanations about how personal data is used. In this episode: How everyday AI services and social platforms collect and process user data. Who can benefit from this information, including technology companies, advertisers and governments. How algorithms use personal data to predict behaviour, personalise content and influence decisions. Why opaque terms and automatic consent make it difficult for users to make informed choices. Practical ways to protect privacy, avoid sharing sensitive data and verify AI-generated information. Links & resources: AI.Proof Project Website⁠ https://ai-proof.eu⁠ European Commission - Data Protection in the EU ⁠https://commission.europa.eu/law/law-topic/data-protection/data-protection-eu_en⁠European Commission - Artificial Intelligence⁠https://digital-strategy.ec.europa.eu/en/policies/artificial-intelligence⁠ European Data Protection Board⁠https://www.edpb.europa.eu⁠NIST Privacy Framework⁠https://www.nist.gov/privacy-framework⁠ UNESCO Recommendation on the Ethics of AI ⁠https://www.unesco.org/en/artificial-intelligence/recommendation-ethics⁠ Guest / contact: Unai Chasco Deza Digital Industry Engineer | Specialisation in Artificial Intelligence, Big Data and Cybersecurity unaichasco@opendeusto.eu Podcast: AI.Proof #AIProof #AI #DataPrivacy #DigitalSafety #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 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 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 19: Whom does AI serve? And why does this matter to me?

  2. Oct 30

    Episode 19 (original language): Whom does AI serve? And why does this matter to me?

    Artificial intelligence services are useful, but they also collect data that can benefit technology companies, advertisers and public institutions. In this episode, Unai Chacón examines whogains from AI systems and why data privacy matters to every user. The discussion offers practical guidance on protecting sensitive information, evaluating AI-generated answers and demanding clearer explanations about how personal data is used. In this episode: How everyday AI services and social platforms collect and process user data. Who can benefit from this information, including technology companies, advertisers and governments. How algorithms use personal data to predict behaviour, personalise content and influence decisions. Why opaque terms and automatic consent make it difficult for users to make informed choices. Practical ways to protect privacy, avoid sharing sensitive data and verify AI-generated information. Links & resources: AI.Proof Project Website https://ai-proof.eu European Commission - Data Protection in the EU https://commission.europa.eu/law/law-topic/data-protection/data-protection-eu_en European Commission - Artificial Intelligence https://digital-strategy.ec.europa.eu/en/policies/artificial-intelligence European Data Protection Board https://www.edpb.europa.eu NIST Privacy Framework https://www.nist.gov/privacy-framework UNESCO Recommendation on the Ethics of AI https://www.unesco.org/en/artificial-intelligence/recommendation-ethics Guest / contact: Unai Chasco DezaDigital Industry Engineer | Specialisation in Artificial Intelligence, Big Data and Cybersecurityunaichasco@opendeusto.eu Podcast: AI.Proof #AIProof #AI #DataPrivacy #DigitalSafety #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 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 19 (original language): Whom does AI serve? And why does this matter to me?

  3. Oct 26

    Episode 18: Ethics and justice: who does AI serve?

    “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 Kevin Bauer discusses how the practices of AI creation- and use intersect with ethics and different value systems, and how this affects the use and development of AI. In this episode:Is AI inherently ethical, and is it bound tospecific values?Does AI mirror the values of its creators?How does AI affect societies at a larger scale?How can we stay critical and keep up with theongoing development of AI? Links & resources:AI.Proof Project Websitehttps://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 - AnAI 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 Intelligence⁠https://digital-strategy.ec.europa.eu⁠UNESCO Recommendation on the Ethics of AI ⁠https://www.unesco.org⁠UNICEF – Artificial Intelligence for Children ⁠https://www.unicef.org⁠Guest / contact: Dr. Kevin Bauer – Professor for Game-Theoretic and Causal AI in Business and Economics at Goethe University Frankfurt am Main (Germany), professional website: ⁠https://www.old.wiwi.uni-frankfurt.de/en/departments/business-informatics/professuren/professor-bauer/team/prof-dr-kevin-bauer.html⁠ Member of Hessian.AI, the Hessian Center for Artificial Intelligence: ⁠https://hessian.ai/⁠personal website: ⁠https://kevin-bauer.eu/⁠  Recorded on May 5th, 2026,interview by Moritz Borchardt, film team Elif-Lea Borchardt,Nina Nozari, Richardt WerlePodcast: AI.Proof#artificialintelligencesingularity #AIEthics #EthicalAI #ResponsibleAI #AIandSociety #AIJustice #DigitalEthics #AILiteracy #CriticalAI #HumanCenteredAI #TrustworthyAI #AIGovernance #AIProof #KevinBauerCO-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=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 18: Ethics and justice: who does AI serve?

  4. Oct 23

    Episode 18 (original language): Ethics and justice: who does AI serve?

    In this episode, professor Kevin Bauer discusses how the practices of AI creation- and use intersect with ethics and different value systems, and how this affects the use and development of AI. In this episode: Is AI inherently ethical, and is it bound tospecific values? Does AI mirror the values of its creators? How does AI affect societies at a larger scale? How can we stay critical and keep up with theongoing development of AI? 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 - AnAI 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 UNESCO Recommendation on the Ethics of AI https://www.unesco.org UNICEF – Artificial Intelligence for Children https://www.unicef.org Guest / contact: Dr. Kevin Bauer – Professor for Game-Theoretic and Causal AI in Business and Economics at Goethe University Frankfurt am Main (Germany), professional website: https://www.old.wiwi.uni-frankfurt.de/en/departments/business-informatics/professuren/professor-bauer/team/prof-dr-kevin-bauer.html Member of Hessian.AI, the Hessian Center for Artificial Intelligence: https://hessian.ai/ personal website: https://kevin-bauer.eu/   Recorded on May 5th, 2026, interview by Moritz Borchardt, film team Elif-Lea Borchardt,Nina Nozari, Richardt Werle Podcast: AI.Proof #ArtificialIntelligence #AIEthics #EthicalAI #ResponsibleAI #AIandSociety #AIJustice #DigitalEthics #AILiteracy #CriticalAI #HumanCenteredAI #TrustworthyAI #AIGovernance #AIProof #KevinBauer 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 18 (original language): Ethics and justice: who does AI serve?

  5. Oct 19

    Episode 17: What is AI competence compared to digital competence

    “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.” 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.eu European Commission - Digital Competence Framework for Citizens https://joint-research-centre.ec.europa.eu/digcomp/digcomp-framework_en European Commission - Artificial Intelligence https://digital-strategy.ec.europa.eu/en/policies/artificial-intelligence Google Teachable Machine https://teachablemachine.withgoogle.com UNESCO 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.eu Guest / contact: Ibai Martínez - Episode guest Artificial Intelligence Engineering focused on Data Science and Machine Learning me@ibaimart.com Podcast: AI.Proof #AIProof #AI #DigitalSkills #AILiteracy #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=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 17: What is AI competence compared to digital competence

  6. Oct 16

    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?

  7. Oct 12

    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

  8. 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
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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.

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  • Creator
    AI.Proof
  • Years Active
    2026
  • Episodes
    25
  • Rating
    Clean
  • Copyright
    © AI.Proof
  • Show Website
    AI.Proof PODCASTS