Firms that collect and store large amounts of data, who have robust computational capabilities, and in‐house computer engineering expertise, are introducing AI to support financial, operational, and organizational risk decision‐making. AI applications can be used to mine knowledge from data for decision-making applications by using a decision support system (DSS)—a multi-purpose informational AI-enabled tool that aids humans in finding information or making decisions. For example, AI-enabled DSSs have shown promise in medicine and can be used to detect lung cancer in x-ray screening. DSSs also have a role in improving occupational risk assessment and risk management strategies.
Another implication of AI on work is automation. Several estimates have been published about the extent to which job tasks could be automated across industry sectors. Human-machine interactions must also be addressed when considering AI in the workplace.
Negative consequences can occur when system controls are not fully understandable to humans, or fully responsive in practice as they were in design. Managing risk as AI-enabled technologies are introduced to the workplace should start with a systems safety approach that focuses on system operation and controls to ensure the reliability and safety of AI technologies enabling autonomous systems.