[Oxford CompSoc banner graphic]   [6th Week]   MT6 Newsletter : Brent Mittelstadt Talk, Movie Night, OxBioHack TechBio Hackathon + More!!

Salutations,

We've got an action-packed week ahead with three incredible events that you won't want to miss. Get ready for a talk on the unfairness of fair machine learning with Brent Mittelstadt on Thursday, and at our upcoming Saturday Social we'll be hosting a movie night!! And for all those that registered, the time has finally come for the OxBioHack TechBio Hackathon.

- Charlotte, CompSoc secretary

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[Events]   The Unfairness of Fair Machine Learning: Levelling down and strict egalitarianism by default with Brent Mittelstadt [https://b6d43c23c6.imgdist.com/public/users/Integrators/BeeProAgency/975166_...]

Speaker: Brent Mittelstadt

Abstract: In recent years fairness in machine learning (ML) has emerged as a highly active area of research and development. Most define fairness in simple terms, where fairness means reducing gaps in performance or outcomes between demographic groups while preserving as much of the accuracy of the original system as possible. This oversimplification of equality through fairness measures is troubling. Many current fairness measures suffer from both fairness and performance degradation, or "levelling down," where fairness is achieved by making every group worse off, or by bringing better performing groups down to the level of the worst off. When fairness can only be achieved by making everyone worse off in material or relational terms through injuries of stigma, loss of solidarity, unequal concern, and missed opportunities for substantive equality, something would appear to have gone wrong in translating the vague concept of 'fairness' into practice. In this talk I will examine the causes and prevalence of levelling down across fairML, and explore possible justifications and criticisms based on philosophical and legal theories of equality and distributive justice, as well as equality law jurisprudence. FairML does not currently engage in the type of measurement, reporting, or analysis necessary to justify levelling down in practice. I will propose a first step towards substantive equality in fairML: "levelling up" systems by design through enforcement of minimum acceptable harm thresholds, or "minimum rate constraints," as fairness constraints. I will likewise propose an alternative harms-based framework to counter the oversimplified egalitarian framing currently dominant in the field and push future discussion more towards substantive equality opportunities and away from strict egalitarianism by default.

When: 5-6PM, Thursday 16th November

Where: Lecture Theatre B, Department of Computer Science 7 Parks Rd, Oxford OX1 3QG

Click 'Going' here: https://fb.me/e/h5WAx17dH

Week 6 Saturday Social: Movie Night!! [https://b6d43c23c6.imgdist.com/public/users/Integrators/BeeProAgency/975166_...]

What better way to end the week than by joining us for a movie night? There will be snacks, drinks, and (as always) pizza!! If you have any film suggestions, you'll find a suggestion box in our Instagramhttps://www.instagram.com/ox.compsoc/ highlights.

When: 7-11PM, Saturday 18th November

Where: Undergraduate Social Area, Department of Computer Science 7 Parks Rd, Oxford OX1 3QG

Click 'Going' here: https://fb.me/e/3rO6KWqpy

OxBioHack TechBio Hackathon [https://b6d43c23c6.imgdist.com/public/users/Integrators/BeeProAgency/975166_...]

A reminder to all those that registered for the OxBioHack TechBio Hackathon that it is running this Saturday.

When: Saturday 18th November

Where: St Catherine's College, Manor Rd, Oxford OX1 3UJ

More Info: https://jonchan0.github.io/oxbiohack23/

[And More...]   Jane Street in-house programmes WISE and FOCUS- deadline to apply 19th November! [https://b6d43c23c6.imgdist.com/public/users/Integrators/BeeProAgency/975166_...] [https://b6d43c23c6.imgdist.com/public/users/Integrators/BeeProAgency/975166_...]

Greetings from Jane Street!https://www.janestreet.com/

This January, Jane Street is excited to host two in- house programmes, WISEhttps://www.janestreet.com/join-jane-street/programs-and-events/wise/ and FOCUShttps://www.janestreet.com/join-jane-street/programs-and-events/focus/. Details about each programme can be found below. The application deadline is Sunday, 19th November 2023.

WISEhttps://www.janestreet.com/wise-ldn-email (7th - 10th January 2024 in London) is for first-year undergraduate students who identify as women, transgender, and gender-expansive to spend two days in our London office learning more about who we are, what we do, and how we do it. You will learn about how we use maths, computer science and probability concepts in trading, as well as insight into the different roles that exist within the firm. Jane Street will provide all travel and housing accommodation. Deadline to apply is Sunday, 19th November 2023.

FOCUS:https://www.janestreet.com/focus-ldn-email (10th- 13th January 2024 in London) is crafted for undergraduate students, who self-identify with an underrepresented ethnic or racial minority group. No prior finance experience is required, only an interest in seeing what a career at Jane Street might look like! Over the course of two days, you will participate in classes, discussions, and activities that are structured to provide a broad overview of the work our trading, software development, and strategy and product teams do. Jane Street will provide all travel and housing accommodation. Deadline to apply is Sunday, 19th November 2023.

If you aren’t a fit for WISE or FOCUS, we are running many other other programs and events that you may be better suited for. Check out this pagehttps://www.janestreet.com/join-jane-street/programs-and-events to find out more and to apply.

Check Out OxWoCS!

Make sure to join OxWoCS (Oxford Women in CS), a society we're working closely with, if you identify as a woman or woman-adjacent person in CS! They have a host of wonderful events on, including talks, panels and socials. Computer Science is unfortunately a subject with one of the biggest gender gaps in Oxford and worldwide, and addressing this is at the core of OxWoCS.

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