Internetdagarna interviews - introduction by marianystromagback

[marianystromagback]

Tell us about yourself? What are you working on and why are you at Internetdagarna?

I am a law professional. I work in healthcare law, specialising in mental health law.

I was a lecturer at Internetdagarnar last year while co-authoring a book about AI and healthcare applications and their legal challenges.

For example, We have a chatbot nurse from a private company in Sweden, but the legal issue of that is: Who is accountable for the advice the chatbot nurse gives?

At the moment AI in Healthcare is in the legal framework reduced to a medical product as if it would be a scalpel or prosthetic, but we are beginning to experience problems with that because the AI s not just a tool. The technology is way ahead of the laws but also way to use to not use. Therefore we have to change and eveolve the laws.

When did something related to the internet last make you hopefull or happy?

Just a couple of minutes ago I saw a company from Peru offering mixed online-offline education to cover for not working public education in Peru. It is wonderful to see people just step in when there is a need, creating a solution partially through the internet.

When did something related to the internet last make you upset, afraid or angry?

Also this morning, the opening speaker at Internetdagarnar talked about how the Internet can be intentionally be used to distort facts. this is a problem with humans not the internet perse. Therefore the solution lies within humans as well. Projects such as this one will be options to augment the possibilities and find solutions.

name: marianystromagback

[MariaEuler]

Hello @marianystromagback,

here the thread about our recent AI event:

Workshop on Inequalities in the age of AI, what they are, how they work and what we can do about them - 19/11 - Brussels

Registration: https://register.edgeryders.eu/ [Edgeryders-Fest-FB-1200x628-AI-fabrizio-01] Are certain technologies more likely to lead to an outcome of increased justice than others? The Forum on inequalities and diversity – a coalition between civil society organizations and researchers headed by Fabrizio Barca, former Minister of Treasury in Italy - recently released a report called 15 proposals for justice. The report gives prominence to the consequences of technical innovation on inequal…

@Neel, for example, was one of the participants of that event working on AI and healthcare who might interesting for you to connect to

Introduction-Neel

Hello all, I am Neel and I am a PhD researcher in the field of applied AI for respiratory care. I am very enthusiastic about the impact that AI technologies have brought in our daily lives, with many more yet to come. However, I am also skeptical of the media-frenzy around AI, especially in healthcare. I would love to discuss some of these challenges so that we adopt a cautious approach in implementation of AI technologies to improve healthcare. Regards, Neel

[hugi]

Welcome! What a super interesting post @marianystromagback!

@marianystromagback

For example, We have a chatbot nurse from a private company in Sweden, but the legal issue of that is: Who is accountable for the advice the chatbot nurse gives?

@nadia, this seems very much aligned with what you have been talking about.
And @markomanka seems like a very aligned person to connect with @marianystromagback.

The rush to implement AI too widely and simplistically could have disastrous consequences

A conversation with Marco Manca @markomanka is an interdisciplinary researcher in mathematics and informational systems with an educational background in medicine. He founded the SCimPulse Foundation, which he still directs, and is also part of several scientific organisations and commissions, including the working group of NATO for human control over autonomous systems. Marko feels there is a lot of excitement about AI and a push to accelerate its implementation widely - but that it is crucial…

This is a concern because of the rush to implement AI, particularly in the field of medicine. In medicine there is an expectation of precision, but with so many biological variables, the more precise you get the more you diverge, so large scale information potentially becomes less valuable. For example, in the 1970s, various tools were introduced to help doctors predict the likelihood of certain diseases, but attempts to refine these profiles over the years have hit a barrier. Just as you could play a lottery with 1/1000 odds every day for a thousand days and still not win, there is a crucial difference between “the destiny of the person in front of you right now, the destiny of every similar person.”