Interview with Iris Phan about risks and opportunities of AI

Interview with Iris Phan about risks and opportunities of AI

Below you can find an excerpt from an interview with Iris Phan. She is a fully qualified lawyer and specializes in AI and automated systems. This interview covers the topics of risks and opportunities of AI and the role of ethics, data protection and transparency. The interview is presented in a translated and abridged version.

Go to her LinkedIn profile here.

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My name is Iris Phan, I have been working here at the computer center of Leibniz University in Hanover for over 6 years. I work in the area of the computer center as a lawyer for IT law and data protection law. Nowadays, many systems are automated. So I also do a lot of work in that area. Furthermore, I also studied philosophy of science and have been a lecturer at the Institute of Philosophy at Leibniz University for three years now.

I think that’s the best place to start: AI sounds as if it’s really about intelligence, as in everyday language. People and especially the media are often making comparisons between artificial intelligence and human intelligence. Then replacement scenarios are always played out. But what is the goal, what is to be replaced? Mostly work that is dull, dangerous, and dirty. That in itself is a very positive development, but it’s not that new. Machines have been replacing people and their work for a relatively long time.

It depends very much on exactly which AI is used and what it’s used for. For example, predictive maintenance naturally helps the environment by preventing us from producing too much industrial waste or things that we don’t even need. Instead, we can simply adjust our procurement to demand in a better and controlled way. That certainly reduces the burden on the environment. I can see many applications where it has a positive effect.

Often the process happens inside a black box. That would suggest that we can’t control it. But in a comparison of countries, we can see that political agendas can help control the process to a certain extent. So it also depends on what is politically desired, which should ideally reflect what society also wants. What research funds are released also plays a role. You can predict and control the development, but only to a certain extent.

The danger isn’t the technology itself, it’s thoughtless development. If you don’t reflect on problems and just carry on, that’s what I would call a danger. It’s perfectly normal for mistakes to happen during development. But if you don’t think about it and ignore things like ethics, things can turn out bad and less progress is made.

Especially in industrial companies, there are often work processes that tire. This does not happen to machines. They may have different fatigue levels, but as I’ve heard, in your current field of activity you are trying to counteract this: In terms of predictive maintenance, people are trying to determine the fatigue of machines. Individuals with a lot of experience may be able to do that, but there are very few of them. So this area it’s a super relief for people, it saves resources and protects the environment. It has many advantages. In the area of legal decisions, I see things a bit differently. It’s about people and decisions for people, so at least one person, in certain cases even more, should have a look at it. Machines are very rational, but that can also be misleading in some cases. You always have to look individually from person to person. So I can’t imagine the application of AI in this area at the moment, but maybe my imagination is just a bit limited.

It should be considered early on. After all, it’s like monitoring. It would be nice if we could manage to think through such processes in advance. For example, by someone from the field of ethics, a lawyer, a natural scientist and so on. That way, you can identify certain risks in advance. The conditions are constantly changing, so you have to start this process again and again, even after a few years. That’s why I think this area is particularly important. Such things should be considered much earlier in the development.

Yes of course. Wonderful, thank you too.

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