Impending regulations like the EU AI Act will mandate agent accountability. Enterprises will be legally required to provide attribution for every agent action and implement a "kill switch" to instantly halt malicious agents. This makes centralized authorization a core compliance tool.

A fundamental governance flaw exists where AI agents are controlled by the companies that build their underlying models. This creates a critical conflict of interest. For example, an agent tasked by a user with filing a complaint against its own model provider may be unable to faithfully execute the command, raising serious questions about ownership and control.

A new bill from Senator Mark Warner introduces a "duty of loyalty" principle, which would legally require AI agents to act in the user's best interest, not the developer's or an advertiser's. This applies a fiduciary-like responsibility to software.

Senator Marsha Blackburn's "Trump America AI Act" directly conflicts with the administration's framework by placing a "duty of care" on AI developers. This makes companies legally liable for foreseeable harms, a stark contrast to the White House's proposal to protect developers from liability for how third parties misuse their models.

Responsibility for ethical AI extends to users. Dr. el Kaliouby argues consumers hold significant power by choosing which AI tools to pay for and use. This collective action can force companies to prioritize ethics, data privacy, and bias mitigation to win market share.

The proposed legislation would create an FTC-managed registry for AI agents. Large platforms with over 50 million users, like Google and Meta, could only be accessed by these registered agents, a mechanism designed to enforce interoperability and prevent anti-competitive behavior.

Federal and state governments are massive customers of technology. Instead of relying solely on legislation, they can use their procurement power to enforce AI safety and ethical standards. By setting strict purchasing requirements, they can compel companies to build more responsible products.

While AI shopping agents promise to protect consumer privacy by abstracting away direct retailer relationships, this is a false dawn. Power will likely centralize with the major tech companies providing these agents, not empower individual users with decentralized control. The battle for "owning the customer" simply moves to a new layer.

While giving agents their own accounts seems like treating them as employees, the analogy breaks down with liability. A user is fully responsible for their agent's actions and requires complete oversight, unlike with a human employee. This creates a fundamental conflict for secure, autonomous collaboration.