AI Solutions Factory
Harnessing the power of human-AI collaboration
The true promise of AI lies at the intersection of humans and intelligent machines, helping each achieve what neither could alone and to transform society for the better. Northeastern’s Institute for Experiential AI advances this human-centered approach, enabling us to design, implement, and scale AI to help people reach greater productivity and creativity at work, lead healthier lives, and build stronger communities.
Research across a sweeping range of disciplines
- Applied analytics
- Computer science
- Data and network science
- Data visualization
- Environment and sustainability
- Health data analytics
- Law and ethics
- Machine learning
- Precision medicine
- Therapeutics discovery
To create AI-driven technologies that will work with and for people, not simply replace them, we’re expanding our expertise. Supported by a $50 million investment, the Institute for Experiential AI is recruiting 30 new tenure-track and research and teaching faculty, research scientists, and postdoctoral fellows. Follow our social media accounts for weekly updates, news and event information:
IEAI is now hiring — data scientists, engineers, administrators and coordinators wanted.
Experiential AI Postdoctoral Fellowship
In response to the shortage of researchers trained in AI, Northeastern seeks postdoctoral candidates from computer science and other fields related to Artificial Intelligence. Last year, Northeastern launched a pioneering research and innovation hub in AI—one that will shape the way humans and machines collaborate. Led by Dr. Usama Fayyad, the Experiential AI Institute is built around the challenges and opportunities made possible by human-machine collaboration. During a two-year postdoctoral appointment, Experiential AI Postdoctoral Fellows will be mentored by members of Northeastern’s Experiential AI faculty or faculty from other colleges affiliated to the institute. Of particular interest is AI applied to cybersecurity, life sciences, healthcare informatics information retrieval, and responsible/ethical AI.
June 30, 2021 — Electronic discovery (eDiscovery) is the application of technical means to the discovery of evidence in legal cases. The explosive growth of born-digital documents and messaging, as well as legal changes in the US and elsewhere in the early 2000’s, turned eDiscovery into a test case for human-AI teaming. David Lewis, PhD will discuss the technical and cost challenges in eDiscovery, the AI technologies applied (particularly active learning), the body of case law and informal practice that has developed, and the ethical issues in this highly regulated area.
The IEAI Seminar Series are paused for the Summer season. Events will pick back up in September, and for now you can visit our YouTube Channel or scroll down to watch previous lectures & events.
Watch previous seminars and lectures series, introductory and informative content from the Institute here or on YouTube.