Presented By: Michigan Institute for Data and AI in Society
The future of discovery in the age of human-AI collaboration
Growtika on Unsplash
What does an AI-driven future look like?
Overview: Artificial Intelligence (AI) is transforming every aspect of our society and revolutionizing academic research. Powerful new systems like Generative AI unlocks enormous potential to accelerate research, “mass produce” human knowledge, and enable humans to address previously unfathomable scientific questions and engineering challenges. Meanwhile, such potential is still largely speculative and initial successes are still limited in scope. Massive adoption of AI in science and engineering will be possible only after addressing numerous issues, and building infrastructure and capacity.
In this symposium, we bring together leading thinkers and researchers around the country to share their vision and work, in four themes.
1) Speeding Up Research – using AI to automate and accelerate research, such as experimental design optimization and accelerating the workflow.
2) The Nature of Creativity in Research – the role of the AI Researcher and the new role of the Human Researcher.
3) Trusting the AI Researcher – Upholding research rigor in AI-driven research and ensuring the validation of AI-driven discoveries, and aligning AI-driven discoveries with human values.
4) Expanding the Limit of the Human Researcher– using AI to ask previously unfathomable questions in a number of research fields.
The intended audience are researchers, trainees and the general public to this event regardless of the specific fields of their research and the focus of their intellectual pursuit.
For more information on sessions and speakers, please visit our event page: https://midas.umich.edu/ai-se-annual-symposium/
Overview: Artificial Intelligence (AI) is transforming every aspect of our society and revolutionizing academic research. Powerful new systems like Generative AI unlocks enormous potential to accelerate research, “mass produce” human knowledge, and enable humans to address previously unfathomable scientific questions and engineering challenges. Meanwhile, such potential is still largely speculative and initial successes are still limited in scope. Massive adoption of AI in science and engineering will be possible only after addressing numerous issues, and building infrastructure and capacity.
In this symposium, we bring together leading thinkers and researchers around the country to share their vision and work, in four themes.
1) Speeding Up Research – using AI to automate and accelerate research, such as experimental design optimization and accelerating the workflow.
2) The Nature of Creativity in Research – the role of the AI Researcher and the new role of the Human Researcher.
3) Trusting the AI Researcher – Upholding research rigor in AI-driven research and ensuring the validation of AI-driven discoveries, and aligning AI-driven discoveries with human values.
4) Expanding the Limit of the Human Researcher– using AI to ask previously unfathomable questions in a number of research fields.
The intended audience are researchers, trainees and the general public to this event regardless of the specific fields of their research and the focus of their intellectual pursuit.
For more information on sessions and speakers, please visit our event page: https://midas.umich.edu/ai-se-annual-symposium/
Growtika on Unsplash
Cost
- - Free for U-M affiliates and alums - $100 for external attendees
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