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Everyone is welcome to get involved in Data Ethics Club, as much or as little as you’d like to! We would love to hear your point of view at our discussion groups, to have your support in organising or running a meeting, or to add your contributions to our reading list.

You don’t need to be a data ethicist (we’re not!), or a data scientist - having a variety of different people is how we learn from each other. It’s a friendly and welcoming group and we often have new people drop by, so why not try it?

We meet every other week for one hour on Zoom (Wednesdays, 1pm, UK time) to talk about something from the reading list. Out upcoming meeting dates are available below. If you would like to get email reminders about the content and dates for the next meeting then click below to join our mailing list!

Please read our Code of Conduct before attending.

Upcoming meetings#

These are the meetings for the next academic term.
We will update the material and questions based on the previous weeks’ vote.

All meetings are held at 1pm UK time and last one hour. If you are in another timezone please use a time/date converter like this one to check your local time!

Join the meeting on the following Zoom link: https://bristol-ac-uk.zoom.us/j/96026442410

You can see the write ups of previous meetings here!

25th September#

Material: ChatGPT is Bullsh*t

Discussion questions:

  1. Do you think that the labels of ChatGPT as a bullshit machine is fair?

  2. Do you think ChatGPT is a soft or a hard bullshitter? I.e. do you think it has the intention to mislead its audience or not?

  3. What do you think of the implications of the anthropomorphizing of AI tools? E.g. hallucination, learning, training, perception etc.

Read the writeup here!

9th October#

Material: Time to reality check the promises of machine learning-powered precision medicine

Discussion questions:

  1. How should we more meaningfully assess applications of ML to medicine (and other fields)?

  2. Why do you think most of the reviewed ML methods are producing classifications (i.e. diagnosed or not diagnosed) instead of predicting a continuum of risk?

  3. Do you think precision medicine itself is an epistemological dead end? What about stratified medicine? (identifying and predicting subgroups with a better and worse response)

Read the writeup here!

23rd October#

Material: Transparent communication of evidence does not undermine public trust in evidence

Suggested discussion questions:

  1. Were you surprised by the findings of the study? Do they mirror experiences in your own domain?

  2. What do you think is behind the difference between the results of the nuclear power study and the vaccine study?

  3. Should research articles have a place in persuading the public, or should their intention always be to focus on robust, trustworthy information?

Read the writeup here!

6th November - DEC Social Special#

Very optional reading: Data Ethics Club: Creating a collaborative space to discuss data ethics

Structure: Go into breakout rooms and everybody does intros and shares (note taking optional if people don’t want their details on the blog):

  1. Who are you professionally?

  2. What brings you to data ethics club?

  3. Who are you outside of data?

Then as a group your discussion is about:

  1. What’s something you all have in common?

  2. What’s something that makes you all different?

  3. As a group, if you hypothetically had unlimited time and unlimited money, what would you do to try and put your Data Ethics knowledge into use for societal good?

Then come back at the end and share!

Read the writeup here!

20th November#

Material: A giant biotechnology company might be about to go bust. What will happen to the millions of people’s DNA it holds?

Suggested discussion questions:

  1. What are the potential risks that could come about with 23andMe using people’s data in the way they’ve outlined in their service agreements?

  2. If you were the Chief Executive of 23andMe, what would you be prioritising to make sure highly personal genetic data was being protected if the company is sold (or even if it isn’t!)

  3. Data security aside, would you want to take a DNA test knowing that you might find out things about your family or about health conditions you could develop?

HackMD link

4th December#

To be decided.

18th December#

To be decided.

Past Meetings#

You can see a record of what we have discussed previously here.

Date

Discussion Material

Summary

Weekly in July/August 2024

Data Feminism Book Club

TBD

04.06.2024, 11am

How AI Could Save (Not Destroy) Education

Read the writeup

22.05.2024, 1pm

The Myers-Briggs Test Has Been Debunked Time and Again. Why Do Companies Still Use It?

Read the writeup

08.05.2024, 1pm

Amazon’s Just Walk Out technology relies on hundreds of workers in India watching you shop

Read the writeup

24.04.2024, 1pm

Artificial Intelligence Act: MEPs adopt landmark law

Read the writeup

27.03.2024, 1pm

Decolonial AI: Decolonial Theory as Sociotechnical Foresight in Artificial Intelligence

Read the writeup

13.03.2024, 1pm

Values in Generative AI (discussing Gemini and DignifAI)

Read the writeup

28.02.2024, 1pm

Google Search Really Has Gotten Worse, Researchers Find

Read the writeup

14.02.2024, 1pm

Italian Supervisory Authority clamps down on Replika chatbot

Read the writeup

31.01.2024, 1pm

Duolingo cuts workers as it relies more on AI

Read the write up

17.01.2024, 1pm

New Years Data Ethics Resolutions

Read the write up

06.12.2023, 1pm

Anatomy of an AI-Powered Malicious Social Botnet

Read the write up

22.11.2023, 1pm

Implementation of an ethics checklist at Seattle Children’s Hospital

Read the write up

08.11.2023, 1pm

The Dimensions of Data Labor

Read the write up

25.10.2023, 1pm

How influencer ‘mumpreneur’ bloggers and ‘everyday’ mums frame presenting their children online

Read the write up

11.10.2023, 1pm

Privacy and Loyalty Card Data

Read the write up

27.09.2023, 1pm

Cancelled in support of UCU strikes

N/A

31.05.2023, 1pm

Classifying ‘toxic’ content online

Read the write up

05.06.2023, 2pm

JGI Data Week Special! Find out more here.

Read the write up

17.05.2023, 1pm

Designing Accountable Systems

Read the write up

03.05.2023, 1pm

Queer in AI: A Case Study in Community-Led Participatory AI

Read the write up

19.04.2023, 1pm

Social Biases in NLP Models as Barriers for Persons with Disabilities

Read the write up

29.03.2023, 1pm

The Tech We Won’t Build

Read the write up

08.03.2023, 3pm

Limits and Possibilities for “Ethical AI” in Open Source: A Study of Deepfakes, plus a related short talk from David Widder

Read the write up

08.02.2023, 1pm

ChatGPT listed as author on research papers: many scientists disapprove

Read the write up

25.01.2023, 1pm

Data Ethics New Years Resolutions discussion!

Read the write up

14.12.2022, 1pm

Defective Altruism

Read the write up

16.11.2022, 1pm

The Ethics of AI Generated Art

Read the write up

30.11.2022, 1pm

Cancelled in support of the UCU strikes

02.11.2022, 1pm

The data was there – so why did it take coronavirus to wake us up to racial health inequalities?

Read the write up

19.10.2022, 1pm

Patient and public involvement to build trust in artificial intelligence: A framework, tools, and case studies

Read the write up

05.10.2022, 1pm

The Failures of Algorithmic Fairness

Read the write up

21.09.2022, 1pm

Hacking the cis-tem

Read the write up

16.06.2022, 1pm

Data Week Special - We watched a video by Virginia Eubanks (author of Automating Inequality)

Read the write up

01.06.2022, 1pm

Participatory data stewardship

Read the write up

18.05.2022, 1pm

Why Data Is Never Raw

Read the write up

04.05.2022, 1pm

Economies of Virtue: The Circulation of “Ethics” in Big Tech

Read the write up

06.04.2022, 1pm

The Algorithmic Colonization of Africa

Read the write up

23.03.2022, 1pm

The Tyranny of Structurelessness

Read the write up

09.03.2022, 1pm

AI in Warfare

Read the write up

23.02.2022, 1pm

N/A

Cancelled due to UCU Strikes.

09.02.2022, 1pm

“You Social Scientists Love Mind Games”: Experimenting in the “divide” between data science and critical algorithm studies

Read the write up

26.01.2022, 1pm

Which Programming Languages Use The Least Electricity?

Read the write up

12.01.2022, 1pm

Data Ethics Club’s New Years Resolutions - read the meeting summary for an overview

Read the write up

15.12.2021, 1pm

The Reith Lectures: Onora O’Neill - A Question of Trust

Read the write up

01.12.2021, 1pm: CANCELLED UCU STRIKE

NA: CANCELLED UCU STRIKE

No meeting, but feel free to have a read about the strikes here

17.11.2021, 1pm

Statistics, Eugenics, and Me

Read the write up

03.11.2021, 1pm

UK’s National AI Strategy - Pillar 3: Governing AI Effectively

Read the write up

20.10.2021, 1pm

Towards decolonising computational sciences

Read the write up

06.10.2021, 1pm

Structural Injustice and Individual Responsibility

Read the write up

NO MEETING 22.08

NO MEETING 22.08

N/A

08.09.2021, 1pm

ESR: Ethics and Society Review of Artificial Intelligence Research

Read the write up

25.08.2021, 1pm

Participant’s Perceptions of Twitter Research Ethics

Read the write up

11.08.2021, 1pm

What an ancient lake in Nevada reveals about the future of tech

Read the write up

28.07.2021, 1pm

The Rise of Private Spies

Read the write up

14.07.2021, 1pm

Numberphile: The Mathematics of Crime and Terrorism - Numberphile

Read the write up

17.06.2021: Inclusive and Ethical Data Science Seminar

Responsible Data and AI by Anjali Mazumder, Intro to The Turing Way by Malvika Sharan, and FAT Forensics ToolBox by Alex Hepburn

N/A

16.06.2021: Screening of Coded Bias

Coded Bias

N/A

26.05.2021, 1pm

‘Living in the Hidden Realms of AI: The Workers Perspective’

Read the write up

12.05.2021, 1pm

Critical Perspectives on Computer Vision

Read the write up

28.04.2021, 1pm

We created poverty. Algorithms won’t make that go away

Read the write up

14.04.2021, 1pm

Identifying gaps, opportunities and priorities in the applied data ethics guidance landscape

Read the write up

31.03.2021, 1pm

Dataism is Our New God

Read the write up

17.03.2021, 1pm

#bropenscience is broken science

Read the write up

03.03.2021, 1pm

Algorithmic injustice: a relational ethics approach (Birhane, 2021)

Nina’s Twitter Summary

17.02.2021, 1pm

On the Dangers of Stochastic Parrots: Can Language Models Be Too Big?

Natalie’s Twitter Summary

03.02.2021, 1pm

Ethics can’t be a side hustle

Nina’s Twitter Summary

20.01.2021, 1pm

Executive Summary of the Review into bias in algorithmic decision making

Brief summary on the meeting document