Workplace impact of artificial intelligence

The impact of <a href="/facts/Artificial_intelligence/lJGauQwX">artificial intelligence</a> on workers includes both applications to improve <a href="/facts/Occupational_safety_and_health/ko1IeS92">worker safety and health</a>, and potential <a href="/facts/Occupational_hazard/alMv8c27">hazards</a> that must be controlled.
One potential application is using AI to <a href="/facts/Hazard_elimination/I1LmY5Pd">eliminate hazards</a> by removing humans from hazardous situations that involve risk of <a href="/facts/Occupational_stress/ShyJzFj0">stress</a>, <a href="/facts/Overwork/nMT3zf79">overwork</a>, or <a href="/facts/Musculoskeletal_injury/taBN8fum">musculoskeletal injuries</a>. <a href="/facts/Predictive_analytics/tbqzk5qe">Predictive analytics</a> may also be used to identify conditions that may lead to hazards such as <a href="/facts/Fatigue/C2oo4Hvg">fatigue</a>, <a href="/facts/Repetitive_strain_injury/JfTq2AQ1">repetitive strain injuries</a>, or <a href="/facts/Chemical_hazard/9dBLejnB">toxic substance exposure</a>, leading to earlier interventions. Another is to streamline <a href="/facts/Occupational_safety_and_health/ko1IeS92">workplace safety and health</a> workflows through automating repetitive tasks, enhancing safety training programs through <a href="/facts/Virtual_reality/0psDGsxT">virtual reality</a>, or detecting and reporting <a href="/facts/Near_miss_(safety)/WB8mDFfs">near misses</a>.
When used in the workplace, AI also presents the possibility of new hazards. These may arise from <a href="/facts/Machine_learning/e0w0XJTu">machine learning</a> techniques leading to unpredictable behavior and <a href="/facts/Inscrutable_artificial_intelligence/dS566nb2">inscrutability</a> in their decision-making, or from <a href="/facts/Computer_security/7E5dIy7G">cybersecurity</a> and <a href="/facts/Information_privacy/fb6DMpdN">information privacy</a> issues. Many hazards of AI are <a href="/facts/Psychosocial_hazard/cx6b084w">psychosocial</a> due to its potential to cause changes in work organization. These include changes in the skills required of workers, increased <a href="/facts/Employee_monitoring/zo01LrA6">monitoring</a> leading to <a href="/facts/Micromanagement/WaGHKypl">micromanagement</a>, algorithms unintentionally or intentionally <a href="/facts/Algorithmic_bias/vHaHsIdV">mimicking undesirable human biases</a>, and <a href="/facts/Blame_in_organizations/uJwKG408">assigning blame</a> for machine errors to the human operator instead. AI may also lead to <a href="/facts/Physical_hazard/LBHgkRgf">physical hazards</a> in the form of <a href="/facts/Workplace_robotics_safety/DmD6lMXn">human–robot collisions</a>, and <a href="/facts/Human_factors_and_ergonomics/prAcGtDW">ergonomic</a> risks of control interfaces and human–machine interactions. Hazard controls include cybersecurity and information privacy measures, communication and transparency with workers about data usage, and limitations on <a href="/facts/Cobot/ujHtzsJM">collaborative robots</a>.
From a workplace safety and health perspective, only <a href="/facts/Weak_AI/UVzAT21X">"weak" or "narrow" AI</a> that is tailored to a specific task is relevant, as there are many examples that are currently in use or expected to come into use in the near future. <a href="/facts/Artificial_general_intelligence/vbxwaq8t">"Strong" or "general" AI</a> is not expected to be feasible in the near future,[according to whom?] and discussion of <a href="/facts/Existential_risk_from_artificial_general_intelligence/j7oxWDYY">its risks</a> is within the purview of futurists and philosophers rather than <a href="/facts/Occupational_hygiene/yUXcpYtY">industrial hygienists</a>.
Certain digital technologies are predicted to result in job losses. Starting in the 2020s, the adoption of modern robotics has led to net employment growth. However, many businesses anticipate that automation, or employing <a href="/facts/Robot/S5mDzWYk">robots</a> would result in job losses in the future. This is especially true for companies in <a href="/facts/Central_Europe/VdxzSbJz">Central</a> and <a href="/facts/Eastern_Europe/f5CDGzNA">Eastern Europe</a>. Other digital technologies, such as <a href="/facts/Computing_platform/DmKwp5Bk">platforms</a> or <a href="/facts/Big_data/XGtrVg4z">big data</a>, are projected to have a more neutral impact on employment. A large number of tech workers have been laid off starting in 2023; many such job cuts have been attributed to artificial intelligence.

Workplace impact of artificial intelligence open-in-new

Workplace impact of artificial intelligence