AI tools are revolutionizing how we synthesize large amounts of data, information, and content. But how do we ensure these tools are truly accurate and reliable?
MadeAi’s How to Measure Accuracy & Performance in AI-enabled SLR Platforms webinar reviews a structured approach to assessing AI accuracy for life science professionals. Experts examine accuracy in AI and what to expect from current AI innovation. Speakers also consider key metrics when using AI as part of an SLR process. Presenters share insight on measuring accuracy and performance, while reviewing an AI assessment methodology, which includes:
- Understanding the AI technology’s current accuracy potential.
- Considering the complexity of some tasks versus others and leveraging expert resources appropriately when applying AI to the process.
- Creating “ground truth” or “benchmark” data to assess the AI-assisted output.
- Incorporating weighting systems to prioritize the relative importance of key metrics.
Meet the Presenters
Kavin Xavier
Vice President – AI Solutions, CapeStart
Kavin Xavier is the Vice President AI Solutions at CapeStart and the technical lead for CapeStart’s team of AI experts who have been building AI-enabled solutions for life science companies for several years.
Byron Wallace
Associate Professor, Northwestern University
Byron Wallace is the Sy and Laurie Sternberg Interdisciplinary Associate Professor at Northeastern University in the Khoury College of Computer Science. He works on Natural Language Processing and Machine Learning in health. He is also the Director of the BS in Data Science Program.
Angeline Babitha Dhas
MadeAi Product Manager, CapeStart
Angeline Babitha Dhas is MadeAi Product Manager at CapeStart and the visionary for CapeStart’s AI-enabled life science platform.
