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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.
I realized that I had not posted the canvas grades. My bad. You should have
received a boatload of notices.
Group Projects
Below is a list of group projects that have been submitted and
approved. If your group project does not appear, let me know. I
might have missed it.
Each of these projects will give a presentation the week of April 22nd, either
Monday the 22nd or Wednesday the 24th, as specified.
Also, if you have a solo project, but would like to give a presentation, let me know.
I do not expect the project to be completed at that time. The presentation, which should be 10 minutes or so, should explain the idea and your approach.
If you have results, you may certainly share them.
Monday April 22nd.
- Ann Zhang. Decision-making system based on TV tropes.
- Rohan Acharya and Sonny Nguyen. Enhanced Option Pricing with an Advanced Binomial Tree ModeL.
- Tetsu Kurumisawa and Mina Bengi Aral. Risk Management System for Equity Portfolio.
- Aileen Siele, Daniel Metaferia, and Vimbisai Basvi. Housing Recommendation System with Explanatory Feedback.
-
Jiayi Chen and Harper Qi. Music Recommendation
System.
- Samuel Chen, Fiza Shakeel, and Rick Gao. Counterfactual Regret Minimization-based Indian Poker Optimization.
- Ron Cheng and Michelle Zheng. MiniTherapist: A customizable,
rule based expert system as a therapy aid that responds in and
takes input with natural language.
Wednesday April 24th.
- Francisco Almeida, Max Velasco, and João Bernardo Pachêco.
Portfolio Risk Assessment: Creating A Python
Tool for Value at Risk Calculation and
Visualization.
- Sherrie Feng, Sean Lim, and Noah Dee. An itinerary planning application.
- Reese Johnson and Milan Mardia. Image Detection System: Is the image real or AI generated?
- Sushant Kunwar, Jorge Torres, and Eric Lin.
Emotion-Based Music Recommendation System.
- Ariel Melendez and Caroline Reiner.
A case-based medical diagnosis
assistant system.
- Hengguang Zhou, Haolan Zuo, and Yining Wang. Interpretable
Graph-Based Stock Trading Decision System.
- Nawal Naz Tareque and Denny Zhang. Rule Based Entertainment Recommendation System.
Neat vs Scruffy
Neats and Scruffies wiki.
Neat v Scruffy
See also Norvig and Russell, AI a Modern Approach, 4th edition, page 24.
Lying Discussion
when should a computer lie?
Lecture: Relationships
The Cuban Missile Crisis, Graham Allison.
See GBDMRelationships.html Chapter 5: Relationships.
Guest Lecture: Kris Hammond
A New Philosophy of Artificial Intelligence TED talk.
Kris was a graduate student colleague at Yale. He wrote CHEF.
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.