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Impact

Meine Stimme in der Öffentlichkeit

Meine Meinung wird gehört. Als gefragte Expertin werde ich regelmässig zu Interviews, Webshows und Podcasts eingeladen. Vom Schweizer Fernsehen bis hin zur ELLE Singapur, von der e-commerce Konferenz der Schweizerischen Post bis hin zum UNESCO Forum: ich bin global und multimedial präsent. Daneben verfasse ich auch immer wieder eigene Artikel.

So schaffe ich Impact.

Impact

Präsenz auf
allen Kanälen

Sie finden hier eine Auswahl an Interviews, Podcasts, Webshows und eigenen Artikeln zu allen  meinen Themenbereichen.

Treffen Sie Ihre Auswahl mit den Hashtags.

Zum Unterrichten von KI & Ethik

Das Montreal AI Ethics Institute hat mich, zusammen mit meinen ForHumanity-Kollegen Merve Hickok und Ryan Carrier, zu unseren Gedanken über das Lehren von KI und Ethik interviewt. Ich empfehle, KI-Ethik so anwendungsorientiert wie möglich zu halten und die Menschen zu inspirieren, darüber nachzudenken, was das für ihre eigene Arbeitserfahrung bedeutet.

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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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The author together with "Dr. Skywater", Makoto Murase

Rainwater Harvesting in Bangladesh

In 2017 I visited various NGO projects in Bangladesh. Upon return to Switzerland I wrote a piece on a method to harvest rainwater in order to secure the supply of healthy water. The article was originally published in the Bangladesh newspaper Daily Sun on February 7, 2018.

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The market only accepts bunches of 5 perfect bananas. 50% of the mini bananas in Costa Rica go to waste (source: private)

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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TedX Zürich: «AI – freedom within, freedom without»

AI frees us from having to solve complex problems ourselves, but does it also deprive us of the ability to think for ourselves? In my TedX speech I reflect on the ambiguous role AI plays for our freedom. Due to the pandemic, my speech was recorded in a huge, empty, pitch-black TV studio in Zurich. I missed the audience, but I am glad that I had the opportunity anyway.

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Robin Hood (the Sherwood Forest version) would be disappointed by his Silicon Valley-Wallstreet namesake. (Photo by Steve Harvey on Unsplash)

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 can make financial markets accessible to everyone, it can also deny access within a split second. This is what happened when they shut down Gamestop trading on January 28, 2021. Thousands of investors were presented with a fait accompli.

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Citizens voting at the ‘Landsgemeinde’ in Glarus (CH); one of the most archaic types of democracy; no traces of AI (source: private, 2017).

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 to an end, that must be measured by its contribution to human flourishing.

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Did someone light a cigarette? Now there is AI preventing that. (source: private, in Nevada, US, 2003)

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 are still doing most of the work.

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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.
4. AI hype exaggerates the capabilities of AI when effectively humans are still doing most of the work.

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Podiumsdiskussion Cybathlon 2020 - Inklusion durch Technik

“Die Stärke einer Technologie bemisst sich an ihrem Beitrag zum Wohl der Schwachen”

“Technische Innovation verschafft Menschen mit Behinderung idealerweise Erleichterungen. Gleichzeitig hilft sie Menschen mit Behinderungen, den Erwartungen der Gesellschaft gerecht zu werden. Aber sie steigert eben diese Erwartungen auch – denn sie verändert, was in der Gesellschaft «normal» ist” So lautet eine meiner Aussagen im Rahmen meines Impulsreferates beim Cybathlon 2020, auf dem Podium von Pro Infirmis.

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Nachhaltigkeit: von Daten zu Taten

Auf ConnectaTV spreche ich mit Aileen Zumstein über den «Messwahn» in der Nachhaltigkeitsdebatte, über den «Rückzug in die Intuition», über low hanging fruit und Oberflächenkosmetik, sowie die Bedeutung von Prinzipien und Unvermeidlichkeit von Abwägungen.

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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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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

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 of a human life?

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Not a viable solution to facial recognition (source: private).

Opposing facial recognition: why focusing on accuracy misses the point

Facial recognition has come under massive scrutiny. Approaches to using it are quite divided. While China uses the technology routinely and extensively in order to surveil their citizens’ everyday life; San Francisco, notably the ‘home territory’ of those companies driving the development of this type of technology, has banned it last spring.

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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 and discrimination when using it for environmental purposes.

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Nachhaltige Anlagen: über Impact, Regulierung und Greenwashing

Es ist gut, dass Regulatoren das Thema Nachhaltige Anlagen aufgreifen. Allerdings ist es weder machbar noch wünschenswert, Nachhaltigkeit im Finanzbereich allein über Regulierung voranzutreiben. Anleger sollen nicht einfach blind auf gesetzliche Vorgaben vertrauen. Nachhaltigkeit liegt immer auch in der Verantwortung des Einzelnen. Yova hat mich interviewt.

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Luca Bravo on Unsplash

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 into algorithms, it often remains unclear what is effectively meant by ethics. I outline in clear and simple terms how ethics can provide guidance when deciding whether we should adopt digital technologies.

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San Francisco, home of OpenAI. Photo by Hardik Pandya on Unsplash

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 couple of hours to read through the whole paper.

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Protest against US President Trump in Washington D.C. Photo by roya ann miller on Unsplash

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 need to work towards creating societies where all members have genuine freedom and equal opportunities in their choice of lifestyles and identities regardless of their protected characteristics.

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Photo by rawpixel on Unsplash

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 these concerns and argue what it takes to really make AI ethicists a top hire.

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Banana truck at a Chiquita plantation near La Lima (HON) (source: private picture).

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 more than 40 days. Bananas worth 30 million USD could not be exported. Is this really worth it?

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