TAF is tough, but is worth

This week we are going to talk about fairness, and in particular the ethical request of being treated fairly algorithmically.

We are going to consider a little handful of materials, or better a subset of them.

Read the points about fairness here: http://www.fatml.org/resources/principles-for-accountable-algorithms

Done? Let’s move to a completely different kind of source. Recently, Alexandra Ocasio-Cortez spoke about algorithms. It’s been widely reported by media, and discussed in depth (you can search it on the web for many commentaries).

@AOC Algorithms are made by human beings (based on human assumptions)

If you don't fix the bias then you automate the bias… #AI #DigitalEthics pic.twitter.com/4VhEXh05eb

— Cristobal Cobo (@cristobalcobo) January 23, 2019

Activities

• What is fairness? Write down a concise answer. If it can help you, you can use some mathematical notation to help your ideas.
• Can algorithms be fair, or unfair? Do not jump straight to a conclusion: try and write down some arguments for both sides, and think about what we have mentioned regarding “neutrality”.

submissions

I’ve opened “diary” for you on learn. Please use that to submit your homework.