Anyone knows anything about
Goethe's Fellowship-programme AI & Ethics? Or do you know anyone who could give more info? 👀

https://www.goethe.de/aiethics

#aiethics #algorithmicfairness #aifairness

How to fix this? The consequentialist framework (CF) to algorithmic fairness foregrounds the results of decisions, rather than properties of the prediction.

One starts by identifying the utility of different possible outcomes, eg efficiency and equity. Optimal decision policies can be derived with Linear Programming that uses stakeholder preferences.

This approach has advantages over static experimental designs (eg randomized trials)

#EthicalAI #MonthOfArxiv #AlgorithmicFairness

The latest turn in the #algorithmicfairness debate is "leveling up":

https://www.wired.com/story/bias-statistics-artificial-intelligence-healthcare/

Striking:

"Technical solutions are often only a Band-aid to deal with a broken system. Improving access to health care, curating more diverse data sets, and developing tools that specifically target the problems faced by historically disadvantaged communities can help make substantive fairness a reality."

Not: no technical solution at all but only within - may I say - a scoiotechnical system.

Excerpts from the article:
The majority of algorithms developed to enforce “algorithmic fairness” were built without #policy and societal contexts in mind.

Our motivation for pursuing fairness is to improve the situation of a historically disadvantaged group.

When we build AI systems to make decisions about people's lives, our design decisions encode implicit value judgments about what should be prioritized.

Technical solutions are often only a Band-aid to deal with a broken system. Improving access to #HealthCare, curating more diverse data sets, and developing tools that specifically target the problems faced by historically disadvantaged communities can help make substantive fairness a reality.

#AI systems make life-changing decisions. Choices about how they should be fair, and to whom, are too important to treat #fairness as a simple mathematical problem to be solved.

#AlgorithmicFairness #MedicalSystem #AIEthics #FairML #ArtificialIntelligence

Article:
HealthCare #Bias Is Dangerous. But So Are ‘Fairness’ #Algorithms

https://www-wired-com.cdn.ampproject.org/c/s/www.wired.com/story/bias-statistics-artificial-intelligence-healthcare/amp

Paper:
The Unfairness of Fair #MachineLearning: Levelling down and strict egalitarianism by default

https://papers.ssrn.com/sol3/papers.cfm?abstract_id=4331652

#AIEthics #MachineLearning #ArtificialIntelligence #AlgorithmicFairness #Operationalization

---

"Operationalization"

It's not an easy word to say. Somehow I always end up putting an extra "z" in there. My friends find that quite amusing, though probably not as amusing as hearing me say "nuclear" in my native Midwestern.

RT @GuctasGules@twitter.com

CFP: Great workshop opportunity for researchers working on algorithmic fairness in the context of Europe’s legal and societal framework. #algorithmicfairness https://sites.google.com/view/ewaf23/home?pli=1

🐦🔗: https://twitter.com/GuctasGules/status/1611742787807895554

#machinelearning #digitalmarketsact #eulaw #nondiscrimination #algorithmicfairness #fairml #FAccT #ailaw #innovations #future

RT @AlexReeveGivens@twitter.com

I wrote a @Slate@twitter.com OpEd on why we need to expand the conversation around #algorithmicfairness. We need to think about the unique risks for disabled people & others for whom bias is particularly hard to detect & address /1 https://slate.com/technology/2020/02/algorithmic-bias-people-with-disabilities.html

🐦🔗: https://twitter.com/AlexReeveGivens/status/1225585106900963334