Posts in Blog

13 March 2024 - Data Ethics Checklist - Author’s Response

14 February 2024 - A Love Letter to Data Ethics

01 January 2023 - Chat GPT Stole my Job

02 December 2022 - But is it FAIR?

01 September 2022 - Garbage in, garbage out: How bad use of data harms marginalised groups

01 September 2022 - Cleaning the oil spill of data metaphors

01 July 2022 - The G in GLMs sometimes stands for “Garbage” – what I learnt getting students to design algorithms for hiring and firing teachers

Posts in Write Up

27 March 2024 - Decolonial AI

13 March 2024 - Values in AI Image Systems

28 February 2024 - Data Ethics Club: Google Search Really Has Gotten Worse, Researchers Find

14 February 2024 - Valentines Day Special - The Ethics of Chatbots

31 January 2024 - Duolingo cuts workers as it relies more on AI

17 January 2024 - Data Ethics Club’s New Year’s Resolutions 2024

06 December 2023 - Anatomy of an AI-Powered Malicious Social Botnet

22 November 2023 - Data Ethics Checklist at Seattle Children’s Hospital

08 November 2023 - Dimensions of Data Labor

25 October 2023 - Sharing childrens’ data online

11 October 2023 - Is retail the next sector to be hit by a privacy scandal?

05 June 2023 - Data Week 2023 Special The Real Danger of ChatGPT

31 May 2023 - Owen Jones on the classification of abuse online

17 May 2023 - Designing Accountable Systems

05 May 2023 - Queer In AI: A Case Study in Community-Led Participatory AI

29 April 2023 - Limits and Possibilities for “Ethical AI” in Open Source: A Study of Deepfakes

19 April 2023 - Social Biases in NLP Models as Barriers for Persons with Disabilities

29 March 2023 - Data Ethics Club: The Tech We Won’t Build

07 February 2023 - Data Ethics Club: ChatGPT listed as an author on research papers: many scientists disapprove

25 January 2023 - Data Ethics Club’s Data Ethics Resolutions 2023

14 December 2022 - Defective Altruism

16 November 2022 - The Ethics of AI generated art

02 November 2022 - ‘The data was there – so why did it take coronavirus to wake us up to racial health inequalities?’

19 October 2022 - Patient and public involvement to build trust in artificial intelligence: A framework, tools, and case studies

05 October 2022 - The Failures of Algorithmic Fairness

21 September 2022 - Hacking the cis-tem

16 June 2022 - JGI Data Week 2022: Automating Inequality

01 June 2022 - Data Ethics Club: Participatory Data Stewardship

18 May 2022 - Why data is never raw

05 May 2022 - Economies of Virtue: The Circulation of ‘Ethics’ in Big Tech

06 April 2022 - The Algorithmic Colonization of Africa

23 March 2022 - Data Ethics Club: The Tyranny of Structurelessness

09 March 2022 - AI in Warfare

09 February 2022 - “You Social Scientists Love Mind Games”: Experimenting in the “divide” between data science and critical algorithm studies

26 January 2022 - Which Programming Languages Use the Least Electricity?

05 January 2022 - Data Ethics Club’s Resolutions 2022

15 December 2021 - A Question of Trust

17 November 2021 - Statistics, Eugenics and Me

03 November 2021 - UK National AI Strategy: Pillar 3 - Governing AI Effectively

20 October 2021 - Towards decolonising computational sciences (20th Oct 2021)

06 October 2021 - Structural Injustice and Individual Responsibility

08 September 2021 - ESR: Ethics and Society Review of Artificial Intelligence Research

25 August 2021 - “Participant” Perceptions of Twitter Research Ethics

11 August 2021 - What an ancient lake in Nevada reveals about the future of tech

24 July 2021 - The Rise of Private Spies

14 July 2021 - What’s this?

26 May 2021 - ‘Living in the Hidden Realms of AI: The Workers Perspective’

12 May 2021 - Critical perspectives on Computer Vision

28 April 2021 - We created poverty. Algorithms won’t make that go away

14 April 2021 - UK Statistics Authority: Identifying gaps, opportunities and priorities in the applied data ethics guidance landscape

31 March 2021 - Dataism Is Our New God

17 March 2021 - “#bropenscience is broken science”