Unlock the Future of AI at the First USF Artificial Intelligence + X Symposium
Join for a unique interdisciplinary event to connect experts across fields, foster collaboration, and stimulate learning.
When: Friday, September 29, 2023; 8:30am-4:45pm
Where: USF Research Park: 3814 Spectrum Level 1 (in person)
What: Panels of experts, posters, and an opportunity to break into interest groups to facilitate collaborations. Tentative session topics: AI Research and Applications in Medicine and Biology, Ethical Considerations and AI in Society, Advancements in AI and Technical Innovations.
The USF Artificial Intelligence + X Symposium program can be downloaded here.
Speaker: Dr. Konstantine Arkoudas, CTO, Dyania Health
Title: Separating fact from fiction: The potential and limitations of AI
Abstract: Generative AI has taken the world by storm. Its proponents claim that it will transform the workplace as well as our personal lives. Economists are predicting that it will radically upend the labor market. Prominent executives have claimed that it's more important than fire or electricity, while many have warned that it poses existential risks for humanity and have called for a moratorium (or even an outright ban) on AI research. In this talk we will survey the history of AI and take a careful look at its current capabilities, highlighting its transformative potential while also pointing out some of its considerable limitations.
Bio: Konstantine has been in the AI space for more than 10 years, as an academic, a senior research scientist, an engineer, a team leader, a manager of managers, and a senior executive. He has also advised and worked with a number of startups throughout his career. Before Dyania, Konstantine was a senior science manager at Amazon, where his teams built and deployed deep-learning models for advanced NLU (Natural Language Understanding) for Alexa. Prior to Alexa AI, he was a team leader at Bloomberg AI, where he grew a team that worked on NLP-powered search and knowledge graphs. He holds a PhD in Computer Science from MIT’s AI Lab and has authored over 50 peer-reviewed publications, several book chapters, and a textbook, in fields ranging from NLP and AI to programming languages, formal methods, and cognitive science.
A registration link is now available below. The Symposium is projected to be limited to the first 100 to register. The cost is $25.00. We look forward to seeing you at the USF Artificial Intelligence + X Symposium.
Call for Abstracts:
We welcome thoughts, ideas, and projects on AI's intersection with various disciplines. Our key areas of interest include, but are not limited to:
- Foundational advances in AI
- AI and Cybersecurity
- AI in Healthcare
- AI and Education
- AI and Business
- AI and Ethics, Policy
- Extended Deadline: 11:59pm EDT, August 17, 2023
- Notification of acceptance: August 25, 2023
- Maximum abstract length: 1000 words
- Include title, author(s) name, and affiliation(s)
- Include a separate bio (max 200 words)
Please upload the abstract information at the link: https://docs.google.com/forms/d/1HCij-RM2QDRGL999XuXc55IxpBCZzrQIv9q1gLaa1Hw
Don't miss this chance to showcase your work to a diverse and engaged audience! Authors of accepted abstracts will have the opportunity to present their work in oral, panel, or poster sessions.
Registration will be limited. Details will appear on our website: https://tinyurl.com/USF-AI-register
Join us, and let's explore the future of AI together!
- Rays H.Y. Jiang (College of Public Health)
- Shyam Mohapatra (College of Medicine)
- Issam El Naqa (Moffitt Cancer Center)
- Yasin Yilmaz (Electrical Engineering)
- Triparna de Vreede (Muma College of Business)