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Neuroprediction, the use of neuroscientific data to predict human behavior, can sound like science fiction. But with the advent of neuroimaging and the continuing rapid development of other non-invasive brain measurements, neuroprediction is increasingly a real-world phenomenon.

Deep philosophical, legal, and neuroscientific questions arise regarding the use of these methods to predict behavior. Like all scientific tools, whether or not these technologies are used responsibly depends on who uses them. For instance, recent research illustrates the potential use of neuroprediction to assess an individual’s risk of (re-)engaging in antisocial conduct in forensic contexts. While the use of brain-based data may add predictive value to existing risk assessment tools, at the same time, the use (or misuse) of neuroprediction in courtrooms may imply violations of individual rights and liberties under the pretext of enhancing public safety. In addition to these legal implications, neuroprediction presents several technological and neuroscientific challenges. The non-invasive measures currently available are only indirect measures of cognitive activity. Understanding the conceptual, ethical, and legal dimensions surrounding the use of neuroprediction technologies helps crystallize the issues at hand and potentially provides moral guidance for those who wish to capitalize on these new tools as their prevalence and specificity continue to advance.

In this seminar, four experts from neuroscience, law, and philosophy will discuss recent findings in neuroprediction research, the predictive power of brain-based evidence compared to behavioral evidence, as well as the ethical and legal concerns emerging from the entrance of neuroprediction in the courts of law.

Speakers:
Arielle Baskin-Sommers, Assistant Professor of Psychology and Psychiatry, Yale University
Martha Farah, Annenberg Professor of Natural Sciences, University of Pennsylvania
Kent Kiehl, Professor of Psychology and Neuroscience, University of New Mexico
Walter Sinnott-Armstrong, Chauncey Stillman Professor of Practical Ethics, Duke University

Discussant:
Jeffrey A. Fagan, Isidor and Seville Sulzbacher Professor of Law and Professor of Epidemiology, Columbia University

Moderator:
Federica Coppola, Presidential Scholar in Society and Neuroscience, Columbia University

Free and open to the public, but RSVP is required via Eventbrite. This event is part of the Seminars in Society and Neuroscience series.

Artificial intelligence (AI) promises to automate and scale solutions to perennial accessibility challenges (e.g., generating image descriptions for blind users). However, research shows that AI-bias disproportionately impacts people already marginalized based on their race, gender, or disabilities, raising questions about potential impacts in addition to AI’s promise. In this talk, Cynthia Bennett will overview broad concerns at the intersection of AI, disability, and accessibility. She will then share details about one project in this research space that led to guidance on human and AI-generated image descriptions that account for subjective and potentially sensitive descriptors around race, gender, and disability of people in images.

When someone is in a conscious state, must they be aware of that state?  The Buddhist philosopher Dignāga offers a brilliant route to answering this question by leveraging the role awareness might play as a constraint on memory.  I begin by clarifying his strategy and what conclusions it might be used to establish.  Here I examine different candidate directions of explanation between consciousness and inner awareness.  I interpret the metaphor of consciousness as a lamp that lights itself, and use the metaphor to distinguish between his view and contemporary higher-order theories of consciousness.  I then turn to explain why the memory argument fails.  The first main problem is that, contrary to Dignāga’s contemporary defenders, there is no good way to use the argument to reach a conclusion about all conscious states.  The second main problem is that the proposed awareness constraint on memory is highly problematic, in tension both with ancient objections as well as current psychology.

With responses from Lu Teng (NYU Shanghai)