Human-AI Collaboration in Data Science

• DOI: 10.1145/3359313
• Publication Date: 2019-11-08T13:40:21Z
• Authors: Dakuo Wang; Justin D. Weisz; Michael Muller; Parikshit Ram; Werner Geyer; Casey Dugan; Yla Tausczik; Horst Samulowitz; Alexander Gray
• Keywords: FOS: Computer and information sciences; Computer Science - Machine Learning; Artificial Intelligence (cs.AI); Computer Science - Artificial Intelligence; 05 social sciences; Computer Science - Human-Computer Interaction; 0202 electrical engineering, electronic engineering, information engineering; 0501 psychology and cognitive sciences; 02 engineering and technology; Human-Computer Interaction (cs.HC); Machine Learning (cs.LG)

The rapid advancement of artificial intelligence (AI) is changing our lives in many ways. One application domain data science. New techniques automating the creation AI, known as AutoAI or AutoML, aim to automate work practices scientists. systems are capable autonomously ingesting and pre-processing data, engineering new features, creating scoring models based on a target objectives (e.g. accuracy run-time efficiency). Though not yet widely adopted, we interested understanding how will impact practice We conducted interviews with 20 scientists who at large, multinational technology company science various business settings. Our goal understand their current these might change AutoAI. Reactions were mixed: while informants expressed concerns about trend jobs, they also strongly felt it was inevitable. Despite concerns, remained optimistic future job security due view that be collaboration between humans AI systems, which both automation human expertise indispensable.