WL06: AI and Statistical Programming: Emerging Best Practices in Industry and Academia

Jeanhee Pak Co-Author
Eli Lilly and Company
 
Michael Anderson Presenting Author
University of Oklahoma
 
Wednesday, Aug 6: 12:30 PM - 1:50 PM
2516 
Roundtables – Lunch 
Music City Center 
We will discuss challenges and opportunities that confront statistical programmers with the growing influence of Artificial Intelligence (AI). From curriculum design and student learning to optimizing business operations and driving innovative research, our discussion will cover emerging AI best practices in both academia and industry. Discussion questions for the roundtable will include: What are the most promising AI tools or techniques for statistical programming? How do we ensure ethical use of AI across academia and industry? What checks and balances should be a part of best practices and who ensures transparency in AI usage? What are the potential pitfalls or risks of relying too heavily on AI? What skills should the next generation of statisticians and programmers develop to work effectively with AI? How can industry and academia collaborate to set best practices for AI integration?

Keywords

Artificial Intelligence

Statistical Programming

Best Practices

Industry

Academia 

Main Sponsor

Section for Statistical Programmers and Analysts