Welcome to Human-AI Interaction!
In short, the goal of this course is to introduce students to ways of thinking about how Artificial Intelligence will and has impacted humans, and how we can design interactive intelligent systems that are usable and beneficial to humans, and respect human values. As students in this course, you will build a number of different interactive technologies powered by AI, gain practical experience with what impacts their usability for humans, understand the various places that humans exist in the data pipeline that drives machine learning, and learn to think both optimistically and critically of what AI systems can do and how they can and should be integrated into society.
- Course: 05618/05318 Human-AI Interaction, Fall 2020
- Zoom Link: see the announcement on Canvas.
- Time: Fall 2020, 3:20-4:40pm T/Th
- Haiyi Zhu
- Email: firstname.lastname@example.org
- Office hours: Wed 9:30am - 10:30 pm ET
- Location: see the announcement on Canvas
- Steven Wu
- Email: email@example.com
- Office hours: Monday 4:00pm - 5:00pm ET
- Location: see the announcement on Canvas
It is our goal that students from all diverse backgrounds and perspectives are well served by this course, that students’ learning needs be addressed both in and out of class, and that the diversity that students bring to this class be viewed as a resource, strength, and benefit. Dimensions of diversity include race, age, national origin, ethnicity, gender identity and expression, intellectual and physical ability, sexual orientation, faith and non-faith perspectives, socio-economic class, political ideology, education, primary language, family status, military experience, cognitive style, and communication style. We are intentional in our aim to present materials and activities that are respectful of diversity, based on these dimensions and any other visible and invisible differences not captured in this list. Indeed, in this class you will learn to approach technology design from an empathetic, human-centered perspective that directly examines and challenges bias and inequality. Your suggestions for ensuring that the class lives up to these values are encouraged and welcomed. In addition, if at any time you experience or witness anything in this class that challenges inclusion, is insensitive or othering, or reinforces biases or stereotypes, please report those experiences using this form (responses can be anonymous). If you’re uncomfortable sharing with your instructors, you may voice your concerns to the chair of the HCII Diversity, Equity, and Inclusion committee, Jodi Forlizzi (firstname.lastname@example.org).
Canvas: We will be using Canvas for all assignments and grades. Please also post all questions on Canvas as discussions instead of sending emails.
Email: If you email your instructors, you might want to include the substring "HAII Course" to begin a meaningful subject line and have tried to resolve the issue appropriately otherwise. For example, you should post questions about course material and homework assignments on Canvas first, and then use emails only after an appropriate amount of time has passed without a response. Please use your CMU email account.
|10%||Reading Reflections (approximately once a week)|
|10%||In-class Activity Participation|
|14%||Quizzes (15 quizzes in all, lowest score dropped).|
|50%||Assignment 1-4, 12.5% each|
|5% Extra||Bonus Assignment 5|
When Work is Due
All quizzes happen at the beginning of class on Thursday.
Projects and assignments are due on Sundays at 11:59pm.
Reading reflections are due just before class on the day we have the scheduled discussion related to the readings. If there is no scheduled discussion, they are due the class after they are assigned (e.g. if assigned on Tuesday, they are due Thursday)
We realize that things happen, and that you might sometimes not be able to turn in your assignments. To accommodate this, you will each receive 5 free late days.
Beyond those days, you receive a 5% penalty for each day late. You are welcome to budget late days as you like, for instance 3 free days late for one assignment, 2 for another, or all 5 for one.
You cannot use late days for quizzes.
During this class on Sept 10th, we will conduct research on how a novel team-based learning activity influences the understanding of the social aspects of fairness metrics in machine learning. This research will involve completing an in-class (during lecture time) activity for a better understanding of the materials taught in the class. You will not be asked to do anything above and beyond the normal learning activities and assignments that are part of this course. You will be required to complete this in-class activity as part of the designed curriculum. However, you will have the choice to opt-out of data collection. Participants will not receive any compensation.
If you have a disability and have an accommodation letter from the Disability Resources office, we encourage you to discuss your accommodations and needs with us as early in the semester as possible. We will work with you to ensure that accommodations are provided as appropriate. If you suspect that you may have a disability and would benefit from accommodations but are not yet registered with the Office of Disability Resources, we encourage you to contact them at email@example.com.
Health & Wellness
Take care of yourself. Do your best to maintain a healthy lifestyle this semester by eating well, exercising, avoiding drugs and alcohol, getting enough sleep and taking some time to relax. This will help you achieve your goals and cope with stress.
All of us benefit from support during times of struggle. There are many helpful resources available on campus and an important part of the college experience is learning how to ask for help. Asking for support sooner rather than later is almost always helpful.
If you or anyone you know experiences any academic stress, difficult life events, or feelings like anxiety or depression, we strongly encourage you to seek support. Counseling and Psychological Services (CaPS) is here to help: call 412-268-2922 and visit their website at http://www.cmu.edu/counseling/. Consider reaching out to a friend, faculty or family member you trust for help getting connected to the support that can help.
If you or someone you know is feeling suicidal or in danger of self-harm, call someone immediately, day or night:
Re:solve Crisis Network: 888-796-8226