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  • AI as an Inevitable Necessity? Let’s Not Go There

    AI as an inevitable constraint? No. In conversation with Nina Benoit about liberalized markets, the failed promise of democratization, and why AI needs standards rather than special treatment – just like any other technology.

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  • A secret AI study. A biometric orb. A new internet ID.

    After researchers sparked outrage with a secret AI experiment on Reddit, the platform considers adopting Sam Altman’s World ID system via a device called the Orb. But is biometric identity the solution, or just another dubious business model?

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  • How AI Hijacks Human Connection

    AI doesn’t just train on academic or artistic content. Increasingly, it feeds on blogs, guides, and independent journalism; any content that shows human care, credibility, or craft. Summarized and displayed in search results, this content becomes invisible at the source. Welcome to a world where creators are reduced to training fodder.

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  • The Myth of AI Democratization

    Some still believe that training large language models (LLMs) on copyrighted content is a form of “democratizing knowledge.” But when you look closely at how these models actually handle the material they ingest, the picture looks a lot less heroic – and a lot more extractive.

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  • Meta’s Silent Swallowing of My Academic Legacy

    My academic legacy? A monograph, a handful of articles—and now a starring role in training Meta’s Llama 3. No royalties. No citations. Just silent swallowing by a machine. A story of vanishing recognition in the age of AI.

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  • Klarna’s AI Whiplash: From Job Cuts to Human Epiphanies

    From “AI can do all jobs” to “Humans are invaluable!”: Klarna’s AI journey is a masterclass in hype whiplash. But behind the cringe, the CEO’s rhetoric surfaces real ethical tensions. What happens when honesty about AI and jobs is no longer whispered in executive suites – but shouted?

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  • Keeping AI Weird (for Safety Reasons)

    AI makes mistakes differently from humans. And that’s a good thing. This post explores why we shouldn’t train machines to fail like humans and why weirdness might be an important safety feature of AI.

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  • Business Ethics and AI: A Wake-Up Call

    The most powerful AI applications stem primarily from private corporations driven by profit. This means that questions of AI ethics must always be linked to business ethics, and its core elements like corporate responsibility, accountability along the value chain and towards stakeholders, and safe and responsible products.

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  • The Data Revolution devours their Children

    AI automates many things. And it is considered neutral. Will we finally achieve equal opportunities thanks to it? It’s not that simple: without human intervention, AI becomes a continuation of discrimination by other means. What’s more, LLMs are running out of food after years of data theft. They are increasingly feeding them with their own…

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  • AI, Creativity and Art

    In the context of art and creativity, AI touches on two fundamental dimensions of ethics: the question of the meaningfulness of life and the question of justice. Talking about democratisation in this context produces one thing above all: a lot of hot air.

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  • AI and Gender Equality: Get involved!

    AI is predominantly developed by men. It is also used more extensively by men. And in key datasets, men are overrepresented. This won’t do: it’s time for women to step in! That was my call to action at the Business Day for Women in Vaduz.

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  • Cryptocurrencies and ESG? Mission impossible

    Cryptocurrencies are booming; many of them are based on extremely energy-intensive mining processes. At the same time, we are under pressure to drastically reduce global emissions consumption, keyword ESG. These two trends are not compatible.

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  • The Swiss Approach to AI ethics: Getting up early, Waking up late

    More than 900 years after the heroic figure Robin Hood set out to steal from the rich and give to the poor, two American entrepreneurs borrowed his name to establish a fintech company that claims to “democratize finance for all”. But the new Robinhood’s claim of ‘democracy’ is on shaky ground. Just as the company…

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  • Rainwater Harvesting in Bangladesh

    In 2017 I visited various NGO projects in Bangladesh and India in my role at the time as a board member of the Buchi Foundation. Upon return to Switzerland I wrote a piece on one of the projects together with Md Abu Hena Mostofa Kamal, who was field coordinator of HELVETAS at the time. The

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  • Getting to the Root of Food Waste in Bananas

    The food waste of bananas created by consumers is only the tip of the iceberg. Even more waste is created at the farm level, where up to 40% of bananas are put to waste. The high percentage of waste at farm level puts an additional strain on the cost/income ratio of farmers.

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  • Robinhood: Democratized Finance on Shaky Ground

    More than 900 years after the heroic figure Robin Hood set out to steal from the rich and give to the poor, two American entrepreneurs borrowed his name to establish a fintech company that claims to “democratize finance for all”. But the new Robinhood’s claim of ‘democracy’ is on shaky ground. Just as the company…

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  • Privacy Conundrums in early 2021 — on Violators and Accomplices

    How is it possible that an app that simultaneously breaches privacy principles and that, for the time being, undermines ideals of inclusiveness, is so successful? And why do even people who are usually strong advocates of the very values Clubhouse violates, hop on this latest trend?

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  • No, we don’t want to ‘democratize’ AI

    The talk about democratizing AI is a clever marketing move. Democracy is an inherently positive term. By suggesting that AI is in everyone’s interest, it is not far off from framing AI as a basic need. But let’s not be fooled: AI is not a basic need. It is a tool, that is, a means…

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  • Four Reasons why Hyping AI is an Ethical Problem

    Hyping AI creates ethical challenges on top of the existing ones. Here is how: 1. AI hype does not question the very purpose of AI. 2. AI hype is linked to misleading promises. 3. AI hype directs energy at something that is barely tangible. 4. AI hype exaggerates the capabilities of AI when effectively humans…

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  • Ethics in the Tech Industry: What makes it so Distinctive?

    Kate O’Neill is a global thought leader, author, keynote speaker, strategic advisor, and “tech humanist”. We talked about connecting the dots between AI ethics, privacy, climate change, CSR, ESG, contact tracing, carbon offsetting and much more, including quite some laughter.

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  • Business is there to Make Life Better. But How?

    As part of his series “Interviews with global leaders in the field of Artificial Intelligence” I spoke with Johan Steyn about AI ethics, privacy, contact tracing, buiness ethics, CSR, etc. – live from my kitchen table.

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  • Ethical Debates sparked by COVID: Thoughts at the UNESCO Forum

    UNESCO Forum invited me as a speaker to share my thoughts on the Covid-19 crisis. The pandemic has sparked fundamental ethical debates. Think of the terrifying reports from hospitals in Italy in Spring 2020. Intensive care units were overrun with patients. There were not enough ventilators. And suddenly we asked ourselves: What is the value…

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  • On Teaching Artificial Intelligence & Ethics

    The Montreal AI Ethics Institute interviewed me, along with my ForHumanity colleagues Merve Hickok and Ryan Carrier, about our thoughts on teaching AI and ethics. I recommend keeping AI ethics as applied as possible and inspiring people to think about what that means for their own work experience.

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  • There is no Responsible Tech without Accountability

    There is a divide between those working on Responsible Tech inside companies and those criticizing from the outside. We need to bridge the two worlds, which requires more open-mindedness and the willingness to overcome potential prejudices. The back and forth between ‘ethics washing’ and ‘ethics bashing’ is taking up too much space.

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  • AI and Sustainability: a Solution or Part of the Problem?

    Environmental sustainability is one of the most promising domains to deploy ‘AI for Good’. The environment is an excellent use case for collecting and analyzing data that help us to better understand and address key environmental challenges. In contrast to the use of AI in ‘human settings’, you typically don’t run into problems of privacy…

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