Spring 2024 Computer Science 458. 3/4/2024


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Canvas Quiz of the Day (need daily password)

NOTE: today, instead of a quiz, you are asked to post a response to the following prompt on canvas Discussions.
What did you learn from today's speaker, Eren Orbey from Microsoft? What was the best question from the audience? Did you ask it?

Unlike the other Discussions, you will not be able to read the responses until you have posted. You get a point for posting. The posting window will be open at 4 pm.

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.

  • You may provide mid-semester feedback on canvas starting March 1st and ending March 8th. It is anonymous.

  • Yale Information Society Project Free lunch.

    Assignments

    Assignments. The paper is now available. It is due April 1st (how appropriate). You should avoid writing about things I already know. Be original. Have your own ideas. I don't want you to given me back my own marbles.

    If you work on the AI and Ethics question, I suggest you read Professor Floridi's book: The Ethics of Artificial Intelligence – Principles, Challenges, and Opportunities (Oxford University Press, 2023), available online from the library.

    Monday March 4th Guest lecture: Eren Orbey, Microsoft

    Empowering Data Scientists—and Citizen Data Scientists—in the Age of AI

    Eren Orbey, a product manager for Microsoft’s new end-to-end analytics platform, will explore his team’s work building tools that enable organizations to make more informed decisions through data science and machine learning. Next-generation data platforms must bridge the domains of business intelligence and artificial intelligence, democratizing software for a range of users without sacrificing the complexity of the underlying technology. Eren will focus on two stages of the machine-learning workflow that are ripe for simplification: data preparation and model deployment. He’ll explore the promise and challenge of building low-code developer tools and incorporating LLMs in user-facing products. Attendees will also have the opportunity to ask questions about the transition from Yale Computer Science to the technology industry.

    Eren Orbey is a product manager at Microsoft, where he works on a new end-to-end data and analytics platform called Fabric. His team's goal is to make data science easier for experts and more accessible to everyone, and his areas of focus include AI-assisted data-cleaning software and machine-learning tools. Eren graduated from Yale in 2019 with degrees in Computer Science and English, and he has a graduate degree from Oxford, where he studied as a Rhodes Scholar. He is also a writer at The New Yorker magazine, where he has contributed since 2016.

    We will take Eren to dinner at Villa Lulu at 6pm. Here are the lottery winners:

    CACM History of AI

    See Hanlon's Razor: Never attribute to malice that which is adequately explained by stupidity. Alternatively, "Do not invoke conspiracy as explanation when ignorance and incompetence will suffice, as conspiracy implies intelligence."

    It is as if medical researchers promised eternal life, but fell short, and merely cured cancer. Is that a problem? The military had much lower expectations.

    The Yale AI Project: Cognitive Modelling

    See The Yale Artificial Intelligence Project: A Brief History Stephen Slade, AI Magazine, 1987.

    See Conceptual Dependency and Its Descendants Steven Lytinen, 1992.

    Goal-based Decision Making: VOTE

    See Amazon Talk.pdf Goal-based Decision-Making: An Interpersonal Model.

    See also Goal-based Decision Making. Stephen Slade. Hardcover: 304 pages. Publisher: Psychology Press (October 1, 1993). It is also available at the Yale Bookstore. Online copy through Yale library Online copy of thesis from which book was derived at Yale Library

    See Running VOTE on the zoo.

    Check out sarcastic-explanation

    Re goal hierarchy: Taylor Swift Fan Admits She Considered Skipping Kidney Transplant for Eras Tour Concert

    The Realm of Decisions

    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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