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.
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.
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.
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.
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.
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.
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?