FAQ
01
Why does the University of Michigan need AI policies? AI policies are essential for making sure students, faculty, and staff use these resources in a responsible and ethical way. Generative AI is continuously developing and it may be difficult to keep up. These policies help to guide the management of AI systems, promote transparency, uphold ethical standards, establish accountability, and encourage the necessary privacy measures.
02
How can I contribute to AI policies? Involvement in the creation of AI policies is essential in order to have a technologically responsible society. Providing insight and feedback regarding AI policies help create a set of guidelines that align with the needs of the university and community.
03
What are the consequences for not following the AI policies? Consequences may include disciplinary actions, loss of certain privileges, or other measures outlined in a more specific policy. Familiarizing yourself with AI policies provided by the university to avoid any wrongdoings or consquences is essential to success.
04
What ethical issues may arise in AI at the University of Michigan? Ethical dilemmas can vary and may include biased algorithm outcomes, privacy concerns, and the impact of AI on job roles. The university addresses some of these dilemmas through comprehensive training, policies, or ongoing dialogue within the academic community.
05
How should I report ethical concerns to the university? If you or someone you know has a specific concern or witness a potential violation of AI policies, you can report it to the university's ethics committee or even through the contact section of this website. It's important to remember that reports will be confidential and action will be taken on the issue.
06
Are there resources for learning more about AI policies and information? Yes! There is a section in this website that offers multiple information and training resources that you can visit. There is also a large variety of more resources online. Exploring these resources will help to deepend understandings of AI and policies at the univeristy and in the community.