From Chatbots to Autonomous Agents

Generative AI systems that began as text‑only chat interfaces are now being extended into agents capable of performing tasks such as browsing the web, booking travel, and manipulating files. These agents promise greater convenience by handling multi‑step actions on behalf of users.

Deep Data Access Required

To function effectively, agents need access to operating‑system level resources, calendars, emails, messages, and cloud storage. Companies developing these tools are therefore requesting permissions that allow them to read code, databases, Slack messages, and other personal information.

Privacy Risks Highlighted by Experts

Researchers from the Ada Lovelace Institute and academics at Oxford warn that granting agents such extensive access creates profound privacy threats. Sensitive data could be inadvertently leaked, misused, or intercepted, and existing privacy regulations may be challenged by the way agents share information with external systems.

Security Implications

Security specialists note that agents increase the attack surface for malicious actors. Prompt‑injection attacks and the potential for agents to capture screenshots or monitor device activity raise concerns about data integrity and confidentiality.

Industry Perspective

Tech giants see agents as the next evolution of AI-driven productivity, betting that deeper integration will reshape how millions work and interact with technology. However, critics argue that the business model relies on extensive data collection, often without clear user consent or opt‑out options.

Calls for Stronger Controls

Advocates from the Signal Foundation and other privacy‑focused groups are urging developers to implement explicit opt‑out mechanisms and limit the scope of agent access. They stress the need for transparent consent processes and safeguards that protect both individual users and third‑party contacts.

Used: News Factory APP - news discovery and automation - ChatGPT for Business