Johns Hopkins AI-X Foundry Fall 2023 Symposium: "Charting a New Course: Navigating AI in Research Traditions"

Sept 27, 2023
10am - 5pm EDT
Also Glass Pavilion (livestream option), Shriver Hall Shriver Hall
Homewood Campus
Registration is required
This event is free

Who can attend?

  • General public
  • Faculty
  • Staff
  • Students

Contact

AI-X Foundry

Description

The Johns Hopkins AI-X Foundry Fall 2023 Symposium explores recent advances in artificial intelligence (AI) and data science that are making a profound impact on human endeavors and are revolutionizing knowledge creation in disciplines ranging from science and medicine to social sciences and the arts. This is an in-person event with a livestream option.

Who should attend?

Researchers, scientists, academics, students, industry professionals, and anyone interested in the cutting-edge applications of AI in research and knowledge creation.

What you'll gain:

  • Unique viewpoints and perspectives from three distinguished speakers
  • Insights into the immense potential AI offers in accelerating research and innovation
  • Understanding AI's influence across disciplines
  • Knowledge of ethical considerations and challenges that arise with research practices
  • Opportunities to engage and network with experts from diverse domains to uncover novel perspectives and approaches

Speakers:

  • Sareeta Amrute
  • Fernando Pereira
  • Mitra Taheri

Schedule:

  • Symposium | 10 a.m. to 4 p.m. | Shriver Hall
  • Poster Session | 4 p.m. | Glass Pavilion

The Johns Hopkins AI-X Foundry is a university-based organization with an ambitious global vision: the intentional collaboration of human and artificial intelligence (AI), with AI learning from humans and humans learning from AI, bringing their complementary strengths together towards the goal of understanding and improving the human condition.

Who can attend?

  • General public
  • Faculty
  • Staff
  • Students

Registration

Registration is required

Please register in advance

Contact

AI-X Foundry