Webinar

AI Datasets: Capabilities, Strategies & Risks for Human Data

Watch now on-demand

Virtual
Group of Professionals Meeting in Modern Office

On-Demand Webinar Details

As companies increasingly integrate artificial intelligence with data from customers and patients, they grapple with issues like understanding AI capabilities, managing consent, avoiding bias, and addressing overarching privacy and security risks associated with human data. 

In this webinar, you will learn how to obtain and use data while conforming to changing regulations, as well as develop long-term best practices for handling human data. We will explore key areas where industries are combining user- and patient-centric data with AI and delve into Exponent case studies that analyze cutting-edge applications in health and clinical studies, customer insights, and marketing that use AI-supported software and hardware. Each topic emphasizes the importance of aligning with legal and regulatory standards. 

Key Takeaways:

  • Opportunities in AI and human data: Discover new use cases that integrate sensors, hardware, and software with AI, and learn how to leverage AI to organize the complexities of human data collection.
  • Identify privacy risks around human data: Gain insights into potential legal risks and ethical considerations when using human data and learn how to mitigate them. 
  • Understand compliance for human data in algorithm development: Get a handle on the legal and ethical implications of using human and health data in algorithms, including compliance with privacy regulations, data ownership, and Institutional Review Board (IRB) Rules and requirements. 
  • Enhance the use of human data: Discover how to increase the value of existing human data and how to make AI more effective by providing contextual insights — including user-centric biomechanical, physiological, and behavioral contexts — that enable the development of more useful and unbiased applications, tools, and algorithms.  

Who Should Attend

  • The legal community 
  • Product developers who are new to implementing AI in their products 
  • Software engineers who are new to using human data 
  • Data scientists who are tasked with generating insights from human data 
  • Health, wellness, and performance industry experts who are using human data and AI to inform and optimize user or product-centric outcomes 

To view the recording, please fill out the form below.

FREQUENTLY ASKED QUESTIONS