I'd like to encourage everyone who can attend in person to do so. This is an out-of-town visitor, so is important to have a nice in-person showing. Remember to leave a bit of extra time to walk to the building. See you tomorrow. -Alan From: Ai <ai-bounces@engr.oregonstate.edu> On Behalf Of Mangannavar, Rajesh Devaraddi Sent: Thursday, May 11, 2023 1:04 PM To: eecs-faculty@engr.oregonstate.edu; eecs-grads@engr.oregonstate.edu; ai-seminar@engr.oregonstate.edu; ai@engr.oregonstate.edu Cc: Tadepalli, Prasad <prasad.tadepalli@oregonstate.edu> Subject: [Ai] AI Seminar : May 12, 2023 Dear all, Our next AI seminar on "Designing Interactive AI for Writers" by Ken Arnold is scheduled to be on May 12th (Tomorrow), 1-2 PM PST (Add to Google Calendar<https://nam04.safelinks.protection.outlook.com/?url=https%3A%2F%2Fcalendar.google.com%2Fcalendar%2Fevent%3Faction%3DTEMPLATE%26tmeid%3DajRoZHY0ZG40ZzQ4aWZhMTRxc2l2c2tnYzhfMjAyMzA1MTJUMjAwMDAwWiBjX25rNXRvdjk5bXZpZ2lnc3RndWEzcm11dGtzQGc%26tmsrc%3Dc_nk5tov99mvigigstgua3rmutks%2540group.calendar.google.com&data=05%7C01%7Cai%40engr.oregonstate.edu%7C1c9296cee1264e68985008db52651eb8%7Cce6d05e13c5e4d6287a84c4a2713c113%7C0%7C0%7C638194366482039827%7CUnknown%7CTWFpbGZsb3d8eyJWIjoiMC4wLjAwMDAiLCJQIjoiV2luMzIiLCJBTiI6Ik1haWwiLCJXVCI6Mn0%3D%7C3000%7C%7C%7C&sdata=kvhHSPpsYp5CCCTPx3BsHjjWBArA6RVucibuhu2ZOrs%3D&reserved=0>). It will be followed by a 30-minute Q&A session with the graduate students. Location: Crop Science Building 122 Designing Interactive AI for Writers Ken Arnold Assistant Professor Calvin University Abstract: When AI systems (Gmail, ChatGPT, etc.) suggest words, writers frequently appropriate them as their own. Although this interaction can help writers, it also threatens accuracy, usefulness, and even integrity. I will show empirical results from controlled studies that found that predictive text systems nudge writers to conform both their writing and their opinions to the system's suggestions. Since I conjecture that these threats are inherent to autocomplete-style predictive interactions, I ask: can large language models help writers without casting doubt on their authorship? I will show prototypes that explore intelligence-augmentation approaches for structuring and revising documents. I hope to spark conversation about what visions and values might shape how we design interactions with emerging AI systems. Speaker Bio: Ken Arnold (B.S., Cornell; M.S., MIT; Ph.D., Harvard) is an assistant professor of computer science and data science at Calvin University. His research has shown how predictive text interfaces, like those in smartphone keyboards and email apps, can shape the content of what people communicate. He is currently working on intelligence augmentation to help writers craft words that are fully their own. His current research interests include human-AI interaction in communication, creativity, and education. Please watch this space for future AI Seminars : https://engineering.oregonstate.edu/EECS/research/AI<https://nam04.safelinks.protection.outlook.com/?url=https%3A%2F%2Fengineering.oregonstate.edu%2FEECS%2Fresearch%2FAI&data=05%7C01%7Cai%40engr.oregonstate.edu%7C1c9296cee1264e68985008db52651eb8%7Cce6d05e13c5e4d6287a84c4a2713c113%7C0%7C0%7C638194366482039827%7CUnknown%7CTWFpbGZsb3d8eyJWIjoiMC4wLjAwMDAiLCJQIjoiV2luMzIiLCJBTiI6Ik1haWwiLCJXVCI6Mn0%3D%7C3000%7C%7C%7C&sdata=f1b%2B0Hr%2F8hqPPgAK%2FFPj49ll35BF6OAwYRrDf7MwzDo%3D&reserved=0> Rajesh Mangannavar, Graduate Student Oregon State University ---- AI Seminar Important Reminders: -> For graduate students in the AI program, attendance is strongly encouraged