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Selected Invited Talks

  • Aylin Caliskan. Societal Impact of Generative AI and Ethics.
    Stanford University. School of Engineering. Department of Computer Science. Stanford Center for AI Safety Annual Meeting. August 2024. (I couldn't attend due to COVID.)
  • Aylin Caliskan. Fairness, Bias, and Factuality in Generative AI.
    Fairness, Bias, and Factuality in LLMs Workshop. Deaprtment of Computer Science. New York University. August 2024.
  • Aylin Caliskan. Bias and Fairness in Artificial Intelligence.
    Seminal Presentation. VADSTI Program at Howard University. February 2024.
  • Aylin Caliskan. Transparency in AI Ethics.
    Invited Keynote. AIBSD AAAI. February 2024.
  • Aylin Caliskan. Artificial Intelligence, Bias, and Ethics.
    Invited Keynote. 2024 School of Medicine Leadership Retreat. University of California San Francisco School of Medicine. February 2024.
  • Aylin Caliskan. Artificial Intelligence, Bias, and Ethics.
    Invited Keynote. Artificial Intelligence in Health Professions Education Symposium. University of Washington School of Medicine. November 2023.
  • Aylin Caliskan. Artificial Intelligence, Bias, and Ethics.
    Invited Early Career Spotlight Talk. The 32nd International Joint Conference on Artificial Intelligence (IJCAI). August 2023.
  • Aylin Caliskan. Generative AI Panel with APEC Senior Officials.
    Pacific Economic Cooperation Council's (PECC) 30th General Meeting. Achieving a Sustainable and Inclusive Asia-Pacific through Innovation. August 2023.
  • Aylin Caliskan. Artificial Intelligence, Bias, and Ethics.
    Stanford University. School of Engineering. Department of Computer Science. CS 521: Seminar on AI Safety. May 2023.
  • Aylin Caliskan. Winter 2023 Faculty Panel: The Politics of Artificial Intelligence.
    University of Washington. Political Science. February 2023.
  • Aylin Caliskan. Implicit Machine Cognition.
    The Society for Personality and Social Psychology Constellation Award Symposium for Honoree Mahzarin Banaji, Professor of Social Ethics at Harvard University. February 2023.
  • Aylin Caliskan. Briefing on Understanding and Addressing Racial Bias in Facial Recognition.
    The National Academy of Sciences. Facial Recognition: Current Capabilities, Future Prospects, and Governance. November 2022.
  • Aylin Caliskan. Sexual Objectification of Women and Girls in Implicit Machine Cognition.
    Stanford University. Organizational Behavior Seminar. October 2022.
  • Aylin Caliskan. Gender Bias in Word Embeddings.
    University of Chicago. Trusted Intelligence in Society Talk Series. September 2022.
  • Aylin Caliskan and Robert Wolfe. Quantifying Biases and Societal Defaults in Word Embeddings and Language-Vision AI
    The National Institute of Standards and Technology (NIST), Artificial Intelligence Measurement and Evaluation Colloquia. August 2022.
  • Aylin Caliskan. Gender Bias in Word Embeddings: A Comprehensive Analysis of Frequency, Syntax, and Semantics.
    Santa Fe Institute Conference. Language as a Window into Mind and Society. June 2022.
  • Aylin Caliskan. Transparency in Algorithmic Bias.
    Santa Fe Institute Workshop: Can Algorithms Bend the Arc Toward Justice? March 2022.
  • Aylin Caliskan. Artificial Intelligence for Social Good: When Machines Learn Human-like Biases from Data.
    Harvard University, University of Chicago, University of Washington, Ninth Circuit’s Fairness Committee. 2021.
  • Aylin Caliskan. Implications of Biased AI on Democracy, Equity, and Justice.
    Invited Keynote COLING Workshop on Natural Language Processing for Internet Freedom. Dec 12, 2020.
  • Aylin Caliskan. Bias in AI. - panel
    NIST AI Workshop. August 18, 2020.
  • Aylin Caliskan. Algorithmic Measures of Language Mirror Human Biases and Widely Shared Associations.
    Santa Fe Institute's Working Group: "Language as a Window into Human Minds: Exploration with Computer-Resident Language." Apr 23, 2020.
  • Aylin Caliskan. Algorithmic Measures of Language Mirror Human Biases.
    Georgetown University. Jan 24, 2020.
  • Aylin Caliskan. Algorithmic Mirrors of Human Biases.
    Virginia Tech. Nov 8, 2019.
  • Aylin Caliskan. Algorithmic Measures of Language Mirror Human Biases.
    Society of Experimental Social Psychology. Oct 18, 2019.
    Accepted Symposium on Computer-Resident Language and Naturalistic Conversation as Windows Into Social Cognition
    with Mahzarin Banaji, Benedek Kurdi, and Thalia Wheatley.
  • Aylin Caliskan. Algorithmic Mirrors of Human Biases.
    University of Chicago. Jun 3, 2019.
  • Aylin Caliskan. Algorithmic Mirrors of Society.
    University of Maryland. Apr 11, 2019.
  • Aylin Caliskan. Algorithmic Mirrors of Society.
    National Academy of Sciences. Feb 20, 2019.
  • Aylin Caliskan. Bias in AI.
    Social Science Foo Camp at Facebook. Feb 4, 2019.
  • Aylin Caliskan. Bias in Machine Learning.
    ACM & Women in Computer Science at GWU. Oct 12, 2018.
  • Aylin Caliskan. AI & Equity.
    Invited Lecture MIT Media Lab. Sep 25, 2018.
  • Aylin Caliskan. The Great Power of AI: Algorithmic Mirrors of Society.
    DefCon26. Aug 11, 2018.
  • Aylin Caliskan. The Great Power of AI: Algorithmic Mirrors of Individuals and Society
    Brown University, Duke University, ETH Zurich, George Washington University, Tufts University, University of Maryland, University of Virginia, and Yale University. Feb - Apr 2018.
  • Aylin Caliskan. Beyond Big Data: What Can We Learn from AI Models?
    Invited Keynote AISec - CCS Workshop. Nov 3, 2017.
  • Aylin Caliskan. Natural Language Processing and Privacy: A Double Edged Sword.
    Invited Keynote Infer - PETS Workshop. Jul 18, 2016.
  • Aylin Caliskan. Code Stylometry and Programmer De-anonymization.
    Göttingen University. Dec 23, 2015.
  • Aylin Caliskan. De-anonymizing Programmers via Code Stylometry.
    Cornell Systems Lunch. Dec 4, 2015.
  • Aylin Caliskan. De-anonymizing Programmers via Code Stylometry.
    Guest Lecture, ELE574-Communications Security and Privacy, Princeton University. Oct 20, 2015.
  • Aylin Caliskan. Security Review of Digital Privacy and the Underground: Miscreant Activity in the Internet.
    Guest Lecture, CS475-Computer and Network Security. Mar 6, 2014.

    • Selected Talks

  • Aylin Caliskan. Bias and AI Ethics. - panel
    DefCon28 AI Village. August 9, 2020.
  • Aylin Caliskan. Tutorial on Distributional Semantics via Word Embeddings.
    Department of Psychology, Harvard University. Nov 9, 2019.
  • Aylin Caliskan and Rachel Greenstadt. De-anonymizing Programmers from Source Code and Binaries.
    DefCon26. Aug 10, 2018. video
  • Aylin Caliskan. A Story of Discrimination and Unfairness.
    33C3 - Chaos Communication Congress, Dec 27, 2016. video
  • Aylin Caliskan. A Story of Discrimination and Unfairness: Implicit Bias Embedded in Language Models.
    HotPETS 2016 - PETS. Jul 22, 2016. video - Best Talk Award.
  • Aylin Caliskan. De-anonymizing Programmers and Code Stylometry - Large Scale Authorship Attribution from Source Code and Executable Binaries of Compiled Code.
    Princeton University CITP Luncheon Speaker Series, Mar 1, 2016. video
  • Aylin Caliskan. De-anonymizing Programmers.
    32C3 - Chaos Communication Congress, Dec 29, 2015. video
  • Aylin Caliskan. Support Vector Machines, Kernel Methods, Random Forests, and Feature Projection.
    Guest Lecture, CS613-Machine Learning, Jan 28, 2015. Nominated for the Teaching Assistant Excellence Award slides
  • Aylin Caliskan. Doppelgänger Finder: Taking Stylometry To The Underground.
    Drexel University, 2014. Inaugural College of Computing & Informatics Day Poster Award
  • Aylin Caliskan, Rachel Greenstadt, and Rebekah Overdorf. Source Code and Cross-Domain Stylometry. Role of Stylometry in Privacy.
    31st Chaos Communication Congress, Dec 29, 2014. video
  • Sadia Afroz and Aylin Caliskan. Stylometry and Online Underground Markets.
    29th Chaos Communication Congress, Dec 28, 2012. video
  • Aylin Caliskan. Quantifying the Translator Effect: Identifying authors and machine translation tools in translated text.
    Girl Geek Dinners Philly, Feb 18, 2011. slides



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