Spring 2024 Computer Science 458 Introduction. 2/5/2024

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Canvas Quiz of the Day (need daily password)

Most days, there will be a simple canvas quiz related to the lecture. You need a password to activate the quiz, which I will provide in class. These quizzes will count toward your class participation grade. The quiz is available only during class.

Click for today's quiz.

Also, you will earn class participation points for posting to Discussions (not Ed Discussions.)

Administrivia

  • I have office hours Mondays and Wednesdays from 2-3 pm, on zoom, id 459 434 2854.

  • Complete the online student information sheet. Note: the previous form was not working. Please submit again. Thanks.

  • Yale Information Society Project Free lunch.
    Tuesday, February 6, 2024 - 12:10PM-1:30PM - SLB 128

    Developing AI Accountability Policy: A View from the Field

    Ellen P. Goodman, Distinguished Professor at Rutgers Law School

    Thursday, February 8, 2024 - 12:00PM-1:30PM - Baker Hall 405

    The AI Mirror: Shards of Humanity in the Digital Ether

    Nisheeth Vishnoi, A. Bartlett Giamatti Professor of Computer Science at Yale University

  • Can This A.I.-Powered Search Engine Replace Google? It Has for Me. NYTimes review of https://www.perplexity.ai/

    Assignments

    Assignments: hw 1 and hw2 is now available.

    Upcoming Guest lecture: Joanne Lipman and Rebecca Distler: Monday February 12th

    JOANNE LIPMAN
    Author & journalist who has served as Editor-in-Chief of USA Today, USA Today Network, Conde Nast Portfolio, and The Wall Street Journal’s Weekend Journal. Currently an on-air CNBC contributor and Yale University journalism lecturer.

    Bestselling author of That’s What She Said: What Men and Women Need to Know About Working Together and Next!: The Power of Reinvention in Life and Work. Yale BA ‘83.

    Joanne will speak on AI & the media: its perils (ie misinformation); its potential (ie rebuilding local news media); and the surprising results when she assigned her journalism students to use it for their reporting

    REBECCA DISTLER
    Strategist for AI & Digital Health at the Patrick J. McGovern Foundation, a philanthropy focused on advancing AI for social impact. Served as Director of Global Health Initiatives at Element Inc, an AI digital identity company.

    Background in public health and technology, including work with organizations like WHO, Gavi the Vaccine Alliance, and the Bill & Melinda Gates Foundation. Yale BA’12 & Yale MPH’13.

    Rebecca will discuss AI & public health: AI & decision-making in public health, with case studies.

    We will go out to dinner afterwards at Villa Lulu, 230 College Street. We will have an in-person lottery in class on Wednesday to select students coming to dinner.

    Lecture Guest lecture: John Niccolai

    Dr. John Niccolai is Chief Operating Officer of Global Fixed Income at Citadel.

    John joined Citadel in 2008 as a Quantitative Researcher and was then appointed Head of Quantitative Research for Global Fixed Income from 2011- June 2018. He was subsequently named Head of Portfolio Construction for Global Fixed Income before assuming his current role in May 2019.

    Prior to joining Citadel, he was a Vice President at JPMorgan Chase, where he was a member of the bank’s Proprietary Positioning Business. John previously worked as a Quantitative Modeler for interest rates in the Global Modeling and Analytics Group at Credit Suisse.

    John received a bachelor’s degree from Caltech and a master’s degree and PhD from Columbia University.

    We will go out to dinner afterwards at Villa Lulu, 230 College Street. The following five students and two alternates were selected by lottery on Wednesday.

  • For the next class and the coming weeks: Give an example of an explanation you thought interesting because it was especially good or bad. It can be personal or from the news. Use the Discussions section of canvas (not Ed Discussion). You earn a quiz point by posting to Discussions.
  • What is a correct decision? See A Realistic Model of Rationality. This short paper provides a high-level introduction to the topics we will discuss in this course: goals, plans, resources, relationships, goal adoption, explanations, subjective decisions, emotions, advice, and persuasion. We contrast it with the standard economic decision theory. We want to develop a theory that can be implemented in a computer program.

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