What are AI agents?
Advanced artificial intelligence systems designed to perform complex tasks by interacting with users and other systems.
AIAs can perform multiple functions as users’ agents or autonomously (that is without instructions or user intervention).
Types:
Reactive Agents: first-generation AI agents, Follow predefined rules; respond to specific inputs but can't learn or adapt.
Learning Agents: Use machine learning to improve over time; can detect patterns and analyze data.
Cognitive Agents: Have advanced reasoning, planning, and decision-making capabilities; can learn from their environment and adapt.
These agents use techniques including natural language processing, computer vision, and deep learning to perform tasks.
The present generation of AIAs are cognitive agents
Challenges posed by AIAs
AIAs access extensive personal information, raising issues about how user data is protected.
Unclear who is responsible if an AI agent causes harm or makes errors—whether it’s the developer, the company, or the AI itself.
AIAs could be exploited or manipulated by malicious actors, affecting user data and decision-making.
Current laws may not adequately address the liabilities of AIAs, creating uncertainties about how to regulate and hold them accountable
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