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Publications

Publications

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  • All HBS Web  (120,126)
    • Faculty Publications  (173)

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    • All HBS Web  (120,126)
      • Faculty Publications  (173)

      De Freitas, JulianRemove De Freitas, Julian →

      ← Page 5 of 173 Results →
      • March 2021
      • Article

      Deliberately Prejudiced Self-driving Vehicles Elicit the Most Outrage

      By: Julian De Freitas and Mina Cikara
      Should self-driving vehicles be prejudiced, e.g., deliberately harm the elderly over young children? When people make such forced-choices on the vehicle’s behalf, they exhibit systematic preferences (e.g., favor young children), yet when their options are unconstrained... View Details
      Keywords: Moral Judgment; Autonomous Vehicles; Driverless Policy; Moral Outrage; Moral Sensibility; Judgments; Transportation; Policy
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      De Freitas, Julian, and Mina Cikara. "Deliberately Prejudiced Self-driving Vehicles Elicit the Most Outrage." Cognition 208 (March 2021).
      • 2021
      • Talk

      [Invited Presentation]

      By: Julian De Freitas
      Citation
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      De Freitas, Julian. "[Invited Presentation]." Institut Jean Nicod, Paris, France, 2021.
      • 2021
      • Talk

      [Invited Presentation]

      By: Julian De Freitas
      Citation
      Related
      De Freitas, Julian. "[Invited Presentation]." Swiss Re Group, Zurich, Switzerland, 2021.
      • 2021
      • Talk

      [Invited Presentation]

      By: Julian De Freitas
      Citation
      Related
      De Freitas, Julian. "[Invited Presentation]." Stanford University, Causality in Cognition Lab, Palo Alto, CA, 2021.
      • 2021
      • Talk

      [Invited Presentation]

      By: Julian De Freitas
      Citation
      Related
      De Freitas, Julian. "[Invited Presentation]." Motional, Inc., Boston, MA, 2021.
      • 2021
      • Talk

      [Invited Presentation]

      By: Julian De Freitas
      Citation
      Related
      De Freitas, Julian. "[Invited Presentation]." Hoffman-Yee Research Grant Seminar, Stanford Institute for Human-Centered Artificial Intelligence, Stanford, CA, 2021.
      • 2021
      • Talk

      [Invited Presentation]

      By: Julian De Freitas
      Citation
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      De Freitas, Julian. "[Invited Presentation]." Harvard Business School, Marketing and Communications, Boston, MA, 2021.
      • 2021
      • Talk

      [Invited Presentation]

      By: Julian De Freitas
      Citation
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      De Freitas, Julian. "[Invited Presentation]." University of Bath School of Management, Behavioural Lab Series, United Kingdom, 2021.
      • 2012
      • Conference Presentation

      Attentional Rhythm: A Temporal Analogue of Object-based Attention

      By: J. De Freitas, B. Liverence and B. J. Scholl
      Citation
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      De Freitas, J., B. Liverence, and B. J. Scholl. "Attentional Rhythm: A Temporal Analogue of Object-based Attention." Paper presented at the Annual Meeting of the Vision Sciences Society, Naples, FL, 2012.
      • 2021
      • Conference Presentation

      Corporations are Viewed as Psychopaths with Good True Selves

      By: J. De Freitas, Samuel G. B. Johnson, Z. Kohn and P. Kim
      Citation
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      De Freitas, J., Samuel G. B. Johnson, Z. Kohn, and P. Kim. "Corporations are Viewed as Psychopaths with Good True Selves." Paper presented at the Association for Consumer Research Annual Conference, 2021.
      • 2021
      • Conference Presentation

      Deliberately Prejudiced Self-driving Vehicles Elicit the Most Outrage

      By: Julian De Freitas
      Citation
      Related
      De Freitas, Julian. "Deliberately Prejudiced Self-driving Vehicles Elicit the Most Outrage." Paper presented at the Society for Judgment and Decision Making Annual Meeting, 2021. (Virtual.)
      • 2021
      • Conference Presentation

      Deliberately Prejudiced Self-driving Vehicles Elicit the Most Outrage

      By: J. De Freitas and M. Cikara
      Citation
      Related
      De Freitas, J., and M. Cikara. "Deliberately Prejudiced Self-driving Vehicles Elicit the Most Outrage." Paper presented at the Society for Philosophy and Psychology Annual Meeting, 2021. (Virtual meeting.)
      • 2021
      • Conference Presentation

      The Ordinary Concept of a Meaningful Life

      By: M. Prinzing, J. De Freitas and B. Frederickson
      Citation
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      Prinzing, M., J. De Freitas, and B. Frederickson. "The Ordinary Concept of a Meaningful Life." Paper presented at the Society for Philosophy and Psychology Annual Meeting, 2021. (Virtual meeting.)
      • 2020
      • Keynote Speech

      "Workshop on Autonomous Driving" Keynote Speech

      By: Julian De Freitas
      Citation
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      De Freitas, Julian. "Workshop on Autonomous Driving" Keynote Speech. IEEE/RSJ International Conference on Intelligent Robots and Systems, 2020. (Virtual.)
      • Article

      Doubting Driverless Dilemmas

      By: Julian De Freitas, Sam E. Anthony, Andrea Censi and George A. Alvarez
      The alarm has been raised on so-called driverless dilemmas, in which autonomous vehicles will need to make high-stakes ethical decisions on the road. We argue that these arguments are too contrived to be of practical use, are an inappropriate method for making... View Details
      Keywords: Moral Judgment; Autonomous Vehicles; Driverless Policy; Transportation; Ethics; Judgments; Policy
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      De Freitas, Julian, Sam E. Anthony, Andrea Censi, and George A. Alvarez. "Doubting Driverless Dilemmas." Perspectives on Psychological Science 15, no. 5 (September 2020): 1284–1288.
      • Article

      Active World Model Learning with Progress Curiosity

      By: Kuno Kim, Megumi Sano, Julian De Freitas, Nick Haber and Daniel Yamins
      World models are self-supervised predictive models of how the world evolves. Humans learn world models by curiously exploring their environment, in the process acquiring compact abstractions of high bandwidth sensory inputs, the ability to plan across long temporal... View Details
      Keywords: World Models; Mathematical Methods
      Citation
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      Kim, Kuno, Megumi Sano, Julian De Freitas, Nick Haber, and Daniel Yamins. "Active World Model Learning with Progress Curiosity." Proceedings of the International Conference on Machine Learning (ICML) 37th (2020).
      • Jul 2020
      • Keynote Speech

      Keynote Speech

      By: Julian De Freitas
      Citation
      Related
      De Freitas, Julian. "Keynote Speech." In Workshop on Social Intelligence in Humans and Robots. Robotics: Science and Systems Conference, July 2020.
      • 2020
      • Conference Presentation

      Learning in Social Environments with Curious Neural Agents

      By: M. Sano, J. De Freitas, N. Haber and D. L. K. Yamins
      Citation
      Related
      Sano, M., J. De Freitas, N. Haber, and D. L. K. Yamins. "Learning in Social Environments with Curious Neural Agents." Paper presented at the 42nd Cognitive Science Society Annual Conference, Toronto, Canada, 2020. (Virtual.)
      • 26 Apr 2020
      • Other Presentation

      Towards Modeling the Variability of Human Attention

      By: Kuno Kim, Megumi Sano, Julian De Freitas, Daniel Yamins and Nick Haber
      Children exhibit extraordinary exploratory behaviors hypothesized to contribute to the building of models of their world. Harnessing this capacity in artificial systems promises not only more flexible technology but also cognitive models of the developmental processes... View Details
      Keywords: Exploratory Learning Behaviors; Modeling; Artificial Intelligence; AI and Machine Learning
      Citation
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      Kim, Kuno, Megumi Sano, Julian De Freitas, Daniel Yamins, and Nick Haber. "Towards Modeling the Variability of Human Attention." In Bridging AI and Cognitive Science (BAICS) Workshop. 8th International Conference on Learning Representations (ICLR), April 26, 2020.
      • 2020
      • Conference Presentation

      Active World Model Learning with Progress-driven Exploration

      By: K-H Kim, M. Sano, J. De Freitas, N. Haber and D. L. K. Yamins
      Citation
      Related
      Kim, K-H, M. Sano, J. De Freitas, N. Haber, and D. L. K. Yamins. "Active World Model Learning with Progress-driven Exploration." Paper presented at the 8th International Conference on Learning Representations (ICLR), Addis Ababa, Ethiopia, 2020.
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