Zeerak Talat

2024

  • On the Promise of Equitable Machine Learning Technologies | New Perspectives on Bias and Discrimination in Language Technology | Nov, 2024
    [keynote] [Slides]
  • Imagining the Unimaginable Impacts of AI | Alexander von Humbold Institut für Internet und Gesellschaft | Oct, 2024
    [Invited Talk]
  • Diagnosing NLP: Sources of Social Harms of NLP | University of Bonn | Jul, 2024
    [Invited Talk] [Slides]
  • Roundtable on GenAI for and by our communities in Africa, the Middle East, and Turkey | Meta | Jul, 2024
    [Roundtable]
  • Fireside Chat with Arjun Subramonian on ‘Queer-Inclusive’ AI: Contesting the Power Structures and Logics of Machine Learning. | IBM | Jun, 2024
    [Fireside Chat]

2023

  • On the Outcomes of Scientific Disagreements of Machine Morality. Co-presented with Liwei Jiang. | BigPicture Workshop | Dec, 2023
    [Keynote] [Slides]
  • The Modern Prometheuses: Machine Learning in a Society | AI GAP | Nov, 2023
    [Keynote] [Slides]
  • Using Digital Tools to Tackle Online Harms and Extremism | The Hate Crime Conference 2023 | Nov, 2023
    [Invited Talk] [Slides]
  • Mirages, Disagreement, and the Futures of NLP Co-presented with Gavin Abercrombe. | Google Deepmind | Oct, 2023
    [Invited Talk] [Slides]
  • Ethics and Legal Perspectives with Cristoph Sorge, Kevin Baum, and Thomas Giegerich, moderated by Rosa Navarette | Interdisciplinary Institute for Societal Computing (I2SC) | Sep, 2023
    [Panel]
  • Fallouts of the Frequentist Assumption in Machine Learning | Laboratory of Multiscale Studies in Building Physics | Jun, 2023
    [Invited Talk] [Slides]
  • Fireside Chat with Tim Scarfe on democratization of AI, policy and ethics | Zürch NLP Meetup | Jun, 2023
    [Fireside Chat]
  • Anthropomorphism in AI with Marta Halina and Jonnie Penn, moderated by Henry Shevlin | University of Cambridge | Jun, 2023
    [Panel]
  • Theories of Change panel with Irene Solaiman, Maria De-Arteaga, Sam Jaroszweski, William Isaac, and Ranjit Singh, moderated by Alexandra Olteanu and Michael Ekstrand. The panel organised by Darcia Wilkinson, Michael Ekstrand, Janet A. Vertesi, and Alexandra Olteanu | FAccT | Jun, 2023
    [Panel]
  • Ouroboros: On the Distributional Hypothesis | FAIR | May, 2023
    [Invited Talk] [Slides]
  • Panel on Democracy, Misinformation, and Content Moderation on Social Media with Rikke Frank Jørgensen, Nanna Bonde Thylstrup, and moderated by Maia Kalke Lorentzen | Union Copenhagen and Infonauterne | Apr, 2023
    [Panel] [Recording]
  • All that Glitters ain't Gold: Examining Machine Learning as Socio-technical Infrastructure | MBZUAI | Apr, 2023
    [Invited Talk] [Slides]
  • Privacy and Surveillance in Content Moderation | Edinburgh University | Feb, 2023
    [Invited Talk] [Slides]
  • Moderating Future Pasts | Heriot-Watt University | Jan, 2023
    [Invited Talk] [Slides]

2022

  • (Modeling) Morality? On Machine Learning and Phrenology | University of Cambridge | Jun, 2022
    [Invited Talk] [Slides]
  • That's just your opinion, man! On Annotating and Evaluating Subjective Data, Objectively | Workshop on Novel Evaluation Approaches for Text Classification Systems | Jun, 2022
    [Keynote] [Slides]
  • The Limit Does Exist! On the Limitations of Online Abuse Detection | Texas A & M University | Mar, 2022
    [Invited Talk] [Slides]
  • Paving the Road to Hell with Machine Learning: On Ethics, Bias, and Machine Learning | UW RAISE | Mar, 2022
    [Invited Talk] [Slides]
  • On a Highway to Hell: On the Consequences of Futuring Machine Learning and NLP | UW Treehouse | Mar, 2022
    [Invited Talk] [Slides]
  • On Uncertain Ground: On Ethics, Bias, and Machine Learning | Bocconi University | Feb, 2022
    [Invited Talk] [Slides]

2021

  • “It ain’t all Good”: Machinic Abuse Detection and Marginalization in Machine Learning | NLP with Friends | Jun, 2021
    [Invited Talk] [Slides]
  • Machine Learning from Nowhere: The illusion of objectivity and the harms of machine learning and NLP | Cardiff University | Jan, 2021
    [Invited Talk] [Slides]

2020

  • Disembodied Machine Learning: The Lives of Data in the Machine Learning Pipeline Co-presented with Nanna Bonde Thylstrup | Critical Interfaces Seminar | Nov, 2020
    [Invited Talk] [Slides]
  • “Yeah well, that’s just your opinion man”: The fallouts of abusive language detection | Center for Informed Democracy and Social Cybersecurity, CMU | Oct, 2020
    [Invited Talk] [Slides]
  • On the Margins of Abuse Detection | IT University of Cepenhagen | Feb, 2020
    [Invited Talk] [Slides]
  • Points of Failure - The Promises of Abusive Language Technology Workshop on Free Speech Regulation and the Politics of Hate | Hertie School of Governance | Feb, 2020
    [Invited Talk] [Slides]

2019

  • Abuse Detection at the Flip of a Coin | The Alan Turing Institute | Nov, 2019
    [Invited Talk] [Slides]
  • ‘It ain’t all good” - Marginalisation in the Name of Protection | ElementAI & South England NLP Meetup | Sep, 2019
    [Invited Talk] [Slides]

2018

  • Progress in Hate Speech Detection and the Things we Lost in the Fire | Ca’ Foscare for Hate Speech Conference | Oct, 2018
    [Keynote] [Slides]
  • Roundtable on Machine Learning, Inequality and Bias. | AINow & Robert Bosch Academy | Jul, 2018
    [Roundtable]
  • Hate Speech, Abusive Language, and Things we Lose in the Fire | The Alan Turing Institute | May, 2018
    [Invited Talk] [Slides]

2017

  • Detecting Hate Speech Using Natural Language Processing | Lorentz Workshop on Intersectionality and Algorithmic Discrimination | Dec, 2017
    [Invited Talk] [Slides]
  • What Did You Just Call Me? Computers versus Abusive Language | Sapienza University of Rome & Heidelberg University | Dec, 2017
    [Invited Talk] [Slides]
  • Gaps in Understanding: Algorithmic Discrimination in Natural Language Processing | Leuphana University | Nov, 2017
    [Invited Talk] [Slides]
  • How do we Hate? Defining and Detecting Hate Speech (on Twitter) | University of Potsdam | May, 2017
    [Invited Talk] [Slides]