What is automated decision making?

Automated decision making refers to a system where decisions are made primarily by algorithms or automated systems without direct human intervention. This approach is characterized by its reliance on machine learning, data analysis, and predictive modeling to arrive at conclusions or actions based on data inputs.

The definition aligns most closely with the choice indicating that human input is entirely eliminated. In truly automated decision-making scenarios, the algorithm analyzes data and executes decisions based on pre-set conditions or learned patterns without needing a human to validate every step of the process, which significantly speeds up operations and can enhance efficiency.

While other options might reflect aspects of decision-making processes, they do not encompass the entirety of automated decision making. For example, a technology-driven approach with human oversight implies that decisions are still subject to human review, indicating a hybrid or assisted model rather than full automation. Similarly, emphasizing transparency or human emotions diverges from the core principle of automation, which emphasizes algorithms over human characteristics in decision-making.