Blog Post 13
This week for SI 643 we completed our webinars in groups of two. Our group presented on algorithms that discriminate and what we can do about it. I believe the there were three key takeaways from our webinar. The first, algorithms have bias and may discriminate in a variety of contexts, like matching supply and demand, pricing, and search results. Fairness is challenging to define, especially when we seek to create a mathematical representation that fits all situations for all people. Lastly, we should work to assess algorithms in contexts by testing for fairness and increasing transparency of systems. Our audience was happy to hear about the frameworks to assess algorithms and overall liked the topic. The chat, while appreciative of the questions in the slides, thought that it may have fizzled out towards the end. In addition to presenting, I watched two other webinars from classmates. The first one was about copyright and fair use of other’s material. In the past, I have wo...