Spring 2024 Computer Science 458. 4/8/2024


[Home]

Audeo of the day

How the US hacked ISIS What is the name of your pet? 1-2-5-7

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.

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.

    Risk and AI Certificate Program

    Rich Apolostik last week mentioned a new GARP certificate program in AI. He has asked me to join the advisory committee. I would welcome your thoughts on issues related to AI and risk. I have added a canvas discussion question. Feel free to dive in.

    Guest Lecture Wednesday April 17th (via zoom) Alborz Geramifard, Meta

    Bio: Alborz Geramifard is a research science director at Meta working on reinforcement learning (RL). Previously he led the Conversational AI at Meta where the team brought the end-to-end approach for dialog management using LLMs into product (https://ai.facebook.com/blog/project-cairaoke/). Prior to joining Facebook, he led the conversational AI team at Amazon Alexa and created more than a dozen of NLU models shipped into production. He obtained his PhD from MIT and MSc from University of Alberta, both in RL. Alborz was the recipient of the NSERC scholarships 2010-2012. He has contributed to the community in various roles including the guest editor for Machine Learning Journal and AI Magazine and Area Chair for EMNLP, NAACL and ACL.

    Abstract: Meta's mission is to empower people to build community and bring the world closer together through artificial intelligence. As part of this mission, Meta believes that augmented reality and metaverse will be the future platform for connectivity for which conversation and interactional AI systems are going to be a critical component. Even today, millions of people use natural-language interfaces via in-home devices, phones, or messaging channels such as Messenger to connect with each other. We strive to create new interactional technologies that have a deep understanding of the context and deliver a personalized experience to the user that is both task-oriented and empathic. Moreover, users are in charge of driving the interaction rather than following a predefined interaction flow. The next generation of interactional AI systems will be multi-modal and pro-active, integrating cues across several modalities to provide creative and on-spot response to the users through augmented reality enabled devices.

    Assignments

    Assignments. The project and hw3 are also available. Note: do not use machine learning for hw3.

    Qualitative Arithmetic

    See QualitativeArithmetic.html May be used for hw3.

    For each of the following, do you want the quantity to be high, low, or in a range?

  • Postscript: In the discussion of ranges in qualitative arithmetic, the examples were physiological, e.g., pulse, blood pressure, weight, temperature. I did not have any economic examples.

    The other day, I came across the phrase "Goldilocks Economy" which refers to a sweet spot where inflation and unemployment are neither too high nor too low. Bingo! I then realized that more generally, the term for this phenomenon is equilibrium - which is better than range. OK?

    Goal-based Systems

  • Winograd's SHRDLU used Micro Planner, blocks world, goal based reasoning. video demo Used the PLANNER programming language which led to prolog.

  • Goals.html

    See GBDMgoals.html Chapter 3: Goals.

    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.


    [Home]