As machine learning techniques grow in prominence and importance, the challenge of algorithmic bias is becoming more urgent. Examples are everywhere - from the Canon digital cameras whose blink detection function was biased against Asian users, to Amazon Alexa and its inability to recognise certain accents. Algorithms are shaped by the biases of the people who create them and the data they are trained on, posing real dilemmas for their application in everyday life.

Prof Marina Jirotka and Dr Helena Webb, Director and Senior Researcher at the UnBias Project at Oxford's Department of Computer Science, join us to unpack the sources of algorithmic bias and the ways in which we can enhance algorithmic accountability.

Sign up on Eventbrite here: https://www.eventbrite.co.uk/e/addressing-algorithmic-bias-with-marina-jirotka-and-helena-webb-tickets-52502723058

What would an attack against AI look like? Can machine learning outputs be trusted? Are AI and privacy mutually exclusive? This conversation will include a short demonstration of an attack against image classification models and open discussion regarding the implications of AI for privacy and security. Although some of the demos will include code, no programming or stats background is needed.

Sign up on Eventbrite here: https://www.eventbrite.co.uk/e/rail-speaker-series-cyber-security-ai-with-james-pavur-tickets-51504472263

Our advanced technical training sessions are aimed at people with some coding background but who lack in-depth knowledge of machine learning specifically. This will enable you to skill up in advance of the projects coming next term.

We will have a one-hour lunch break from 12:00pm to 1:00pm.

Sign up on Eventbrite here: https://www.eventbrite.co.uk/e/machine-learning-crash-course-part-2-tickets-51754455971

Our advanced technical training sessions are aimed at people with some coding background but who lack in-depth knowledge of machine learning specifically. This will enable you to skill up in advance of the projects coming next term.

We will have a one-hour lunch break from 12:00pm to 1:00pm.

We are excited to announce our first non-technical training session, which will be held at Rhodes House. This will be a non-technical introduction to machine learning, which will cover the crucial concepts, distinctions, and vocabulary needed to understand current debates and developments around AI.

The Rhodes Artificial Intelligence Lab (RAIL) is a group of graduate students at Oxford working to apply machine learning to complex social challenges. This is an opportunity to find out about our events, training programme, and projects for this year. Sign up on Eventbrite here.

5:00pm - Introduction to RAIL (and pizza!)

6:00pm - Attend OxAI talk by Victoria Krakovna (sign up here)

7:00pm - Drinks at The Royal Oak