Category: aiethics

  • AI: Lessons from Business ethics

    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

    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

    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

    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: 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 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 ethics on air

    Podcasts – my thoughts on ethics 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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  • The Swiss approach to AI ethics: Getting up early, waking up late

    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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  • On teaching AI & ethics

    On teaching AI & 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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