This page provides further detail on the Accessible and Representative Imageries and Imaginaries of AI event, to be held as a hybrid event on March 28th at The Alan Turing Institute's office in London.
It’s not every day that you get to sit down on a wintery morning, cup of tea in hand, to help direct the future of an innovative new course to be delivered by the Turing Commons.
My name’s Orlando, and I’m currently a Master of Research (MRes) student with the Artificial Intelligence for Environmental Risk (AI4ER) CDT at the University of Cambridge. Our course aims to harness the increasing availability of large datasets and powerful compute to better understand physical systems in order to inform national and international policy, and make a tangible, positive impact on the environments in which we live.
Over three weekends in January, Camden Council are running a Resident’s Panel with a group of local residents to reflect on, sense-check and make improvements to their Data Charter, which was created a year earlier. At LOTI, we’ve identified resident engagement as one of the key capabilities for councils to become more responsible innovators and ethical users of data, and given my other area of work on innovative participation methods, I was excited to attend the second weekend meeting of this Panel, and blog about my impressions.
This blog post sets out a general roadmap and explores a series of objectives for the Turing Commons as we head into 2023.
What do we mean when we talk about the ethics of artificial intelligence? If guided by popular culture and science fiction, we would probably turn to images of seemingly sentient robots and questions on the ethics of our (mis)treatment of them.1
In April 2022, we ran our first week-long course on Public Engagement of Data Science and AI with 25 fantastic researchers from across the globe.
This post explores why we developed the course, outlines the activities we ran with the course participants, and concludes with next steps.