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  • AI: Lessons from Business Ethics

    When it comes to business ethics, AI companies ignore the most basic concepts linked to accountability, supply chain responsibility and product safety. Yes, AI companies create groundbreaking innovation. But that comes with the responsibility to ensure that what they do serves humanity, not the other way around.

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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 in publishing: Bridging gaps, upholding values

    AI in publishing was the topic of a debate, organized by Wiley. How should publishers respond to advances of Big Tech? How can AI make research more accessible? And do we really need to reinvent the wheel when talking about accountability in the age of AI?

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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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  • Podcasts – My Thoughts on Air

    Hosts from all over the world invite me to share my thoughts on ethics, artificial intelligence, data protection, sustainability or my personal career. Podcasts are a great opportunity to present my views and convictions in a structured and understandable manner. Every single one of these conversations has been an eye-opener for myself as well.

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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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  • Facial Recognition: Accuracy is not the Point

    Facial recognition is flawed—but should we reject it because it’s inaccurate, or because it’s immoral? This post argues why moral arguments matter more than statistics when it comes to protecting our faces, our privacy, and our civil rights.

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  • Linking Digitalization to Ethics: a Simple Outline of Some Foundations

    It shouldn’t take a scandal of the dimensions achieved by Facebook/ Cambridge Analytica to make it clear that we must not use technology blindly without asking ourselves some ethical questions, but incidents like these certainly help to raise awareness on an ever broader scale. Yet, despite an increasing amount of articles calling for integrating ethics…

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  • Why AI really needs Social Scientists

    OpenAI states that in order to assure a rigorous design and implementation of this experiment, they need social scientists from a variety of disciplines. The title immediately caught my attention given that the kind of “AI ethics” I am dealing with hinges on an interdisciplinary approach to AI. So, I sat down and spent a…

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  • Algorithmic Decision-Making and Social Division

    Reading a report on “Discrimination, Artificial Intelligence and Algorithmic Decision-Making”, I wondered to what degree algorithmic decision-making could serve to further exacerbate discrimination in already deeply divided societies. If we want AI in general and algorithmic decision-making in particular to flourish and to contribute to the common good rather than promote or exacerbate division, we…

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  • What makes AI Ethicists “the top hire companies need to succeed”?

    KPMG ranked “AI ethicist” as one of the “top 5 AI hires companies need to succeed in 2019”. That’s good news for an ‘old business ethicist’ like me. However, there is no common understanding whether we need AI ethicists in the first place, and whether creating such a profile inevitably leads to “machinewashing”. I address…

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  • The Costs of Lowering Social Standards

    In 2014 Chiquita paid their workers in Honduras private health insurance which cost them a total of 1 million USD per year. Quite a lot of money for a company close to bankruptcy. A few weeks ago they wanted to lower the level of health care services. As a result, workers went on strike for…

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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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  • AI in publishing: Bridging gaps, upholding values

    AI in publishing was the topic of a debate, organized by Wiley. How should publishers respond to advances of Big Tech? How can AI make research more accessible? And do we really need to reinvent the wheel when talking about accountability in the age of AI?

    Read more

  • Podcasts – My Thoughts on Air

    Hosts from all over the world invite me to share my thoughts on ethics, artificial intelligence, data protection, sustainability or my personal career. Podcasts are a great opportunity to present my views and convictions in a structured and understandable manner. Every single one of these conversations has been an eye-opener for myself as well.

    Read more

  • Is there Business Ethics in Clubhouse?

    What can AI ethics learn from business ethics? What’s the ethics of Clubhouse, if any? Is the Robinhood app undermining free will? And how can tech companies create an ethical business culture? Listen to my thoughts in this interview.

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  • AI is a Tool, not a Right. It’s not an End in Itself

    “We might trust machines more than people when we communicate with them but this is dangerous because behind every machine there are the people that create it”. Just one of my statements from my lively talk with Kimberly Misquitta from Indian chatbot company Engati.

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  • Fake it till You Make it: AI and Hype

    The Algo 2020 conference invited me on a panel discussion titled “Fake it till you make it – AI and Hype”. My 4 key points: 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.…

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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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