  Embedding artificial intelligence into systems introduces significant
challenges to modern engineering practices. Hazard analysis tools and processes
have not yet been adequately adapted to the new paradigm. This paper describes
initial research and findings regarding current practices in AI-related hazard
analysis and on the tools used to conduct this work. Our goal with this initial
research is to better understand the needs of practitioners and the emerging
challenges of considering hazards and risks for AI-enabled products and
services. Our primary research question is: Can we develop new structured
thinking methods and systems engineering tools to support effective and
engaging ways for preemptively considering failure modes in AI systems? The
preliminary findings from our review of the literature and interviews with
practitioners highlight various challenges around integrating hazard analysis
into modern AI development processes and suggest opportunities for exploration
of usable, human-centered hazard analysis tools.
