Agentic AI
Also known as: AI agents, autonomous AI agents
Agentic AI refers to artificial intelligence systems that can plan, make decisions, and execute multi-step actions autonomously to achieve high-level goals, typically by interacting with software, tools, or environments on behalf of a user. Unlike single-turn AI assistants that respond to individual prompts, agentic systems maintain state, reason about task progress, and chain actions across applications. Accessibility implications are significant: agentic AI could automate tasks that are currently inaccessible or burdensome for users with disabilities, but autonomous agents also risk acting without user oversight, making decisions that conflict with user preferences, or encoding non-disabled interaction patterns as defaults. Ensuring that users — particularly those with disabilities — can monitor, interrupt, and share control with agentic systems is an open research challenge.
Category: AI and Emerging Technologies · Assistive Technology
Related: Computer Use Agent · Large Language Models · AI Literacy · Conversational Programming