Blog

  • Fake it till you make it: AI and Hype

    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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  • “There is no Responsible Tech without accountability”

    “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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  • Ethics in the tech sector: what makes it so distinctive?

    Ethics in the tech sector: 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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  • Ethical debates sparked by Covid19: my thoughts as part of the UNESCO Forum

    Ethical debates sparked by Covid19: my thoughts as part of 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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  • Facial recognition: accuracy is not the point

    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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  • AI and sustainability: a solution or part of the problem?

    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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  • Linking digitalization to ethics: a simple outline of some foundations

    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

    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

    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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