What challenges and opportunities do you see AI presenting for the future of research? How might access or integrity change?
What questions should media studies, psychology, etc., experts be asking about AI systems to ensure ethical development?
What are the tradeoffs between customizing information streams for relevance vs. showing users a diversity of content? How do algorithms currently handle this?
Who should oversee ethical guidelines for algorithms influencing the culture? What transparency is needed?
Read: “Facebook’s Algorithm is ‘Influential’ but Doesn’t Necessarily Change Beliefs, Researchers Say” https://www.nytimes.com/2023/07/27/technology/facebook-instagram-algorithms.html
Read: “Should AI Have a Role in Assessing Research Quality?” https://www.nature.com/articles/d41586-022-03294-3
Read: “Google Turns 25: The Search Engine Revolutionised How We Access Information, But Will It Survive AI?” https://theconversation.com/google-turns-25-the-search-engine-revolutionised-how-we-access-information-but-will-it-survive-ai-212367
Read: “Why This School District Used A.I. to Help Determine Which Books to Ban” https://www.smithsonianmag.com/smart-news/why-this-school-district-used-ai-to-help-remove-library-books-180982762/
Read: “Does Your AI Have Users’ Best Interests at Heart?” https://hbr.org/2019/11/does-your-ai-have-users-best-interests-at-heart
Read: “Cambridge Analytica and the Power of Data” https://medium.com/@erika.dauria/cambridge-analytica-and-the-power-of-data-58b555fd5fd1
Check out GCSU Class of 2025 valedictorian Lily Gauntt's guide to AI at https://libguides.gcsu.edu/artificialintelligence
For a guide to citing information from generative AI tools, please visit https://libguides.gcsu.edu/c.php?g=21259&p=10598639