"Decision designer. Digital ethics advisor. AI experience officer. The titles might sound futuristic, and for now, they mostly are. But in the Age of AI, new categories of jobs are emerging that don't fit neatly into existing org charts. They center on human-AI collaboration, and combine machine learning expertise with psychology, organizational design, and workflow management. For the past few years, organizations have primarily approached AI adoption by adding tools to existing roles or expanding what workers were already doing."
"For most companies, figuring out just how people and AI should work together is a key challenge, says Sabari Raja, a managing partner at JFFVentures, an early-stage fund that invests in startups focused on low- and mid-wage workers. "These new roles involve designing that collaboration - training teams for it, and determining where human judgment comes in," Raja says. The individuals who will excel in these roles understand how humans work: their cognitive limits, where trust breaks down, and how people make decisions under pressure."
New job categories are emerging that focus on human-AI collaboration and do not fit traditional organizational charts. These roles blend machine learning expertise with psychology, organizational design, workflow management, and ethics. Successful practitioners understand human cognition, trust dynamics, decision-making under pressure, and the limitations and uncertainties of AI models. Responsibilities include designing collaboration, training teams, and defining where human judgment is required. Early AI adoption often repurposed existing technical roles, but as organizations scale from pilots to production, focus shifts toward specialized positions tailored to the native AI era.
Read at Business Insider
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