How the White House sees the future of safeguarding AI

Domino for Government Mission-Driven AI. Secure & Governed.

Secure and Compliant AI for Governments

Current laws and regulations also contribute to ensuring data privacy and security in governments that leverage AI. Governments have since realized the need to protect sensitive information through the implementation of various measures. As one of the first companies to articulate Al principles, we’ve set the standard for responsible Al. We’ve advocated for, and developed, industry frameworks to raise the security bar and learnt that building a community to advance the work is essential to succeed in the long term. (a)  There is established, within the Executive Office of the President, the White House Artificial Intelligence Council (White House AI Council).

Where is AI used in defence?

One of the most notable ways militaries are utilising AI is the development of autonomous weapons and vehicle systems. AI-powered crewless aerial vehicles (UAVs), ground vehicles and submarines are employed for reconnaissance, surveillance and combat operations and will take on a growing role in the future.

Beyond creating programs and grants aimed solely at defense mechanisms and creating new methods not vulnerable to these attacks, DARPA and other funding bodies should mandate that every research project related to AI must include a component discussing the vulnerabilities introduced by the research. This will allow users who potentially adopt these technologies to make informed decisions as to not just the benefits but also the risks of using the technology. Protect the assets that can be used to craft AI attacks, such as datasets and models, and improve the cybersecurity of the systems on which these assets are stored. This report proposes the creation of “AI Security Compliance” programs as a main public policy mechanism to protect against AI attacks. The goals of these compliance programs are to 1) reduce the risk of attacks on AI systems, and 2) mitigate the impact of successful attacks.

Testimony on MA H64/S33 re: establishing a commission on automated decision-making by government in the Commonwealth

International cooperation on data privacy and security is pertinent to governance through AI. The growing use of AI technologies has pointed to the fact that governments around the world face similar challenges concerning the protection of citizens’ personal information. Partnering and sharing best practices better addresses these concerns in sustainable ways. For similar purposes, countries like the United States have enacted laws like the California Consumer Privacy Act (CCPA) that offer residents certain rights over their data. These laws mandate businesses to fully disclose what information is being collected, and how such will be used.

Secure and Compliant AI for Governments

Importantly, even though EOs are binding, they must not be confused with legislation as they do not go through the legislative process (e.g. Congress). The EOs do not themselves create obligations upon business directly as they are binding only on the executive branch, e.g. federal agencies. However, they are well-positioned to indicate the direction of future policies, as some actions can require the backing of Congress to materialize, and regulatory activities as EOs “direct” federal authorities and agencies to carry out (or refrain from carrying out) certain courses of action. This enables EOs to provide valuable insight into understanding the areas and topics that referred authorities and agencies will act upon, for example, introducing new regulatory practices, guidelines, or courses of action. Now, the US government has taken an additional step towards addressing the risks and opportunities of AI in the US.

AI Use Cases for Government Agencies

We’ve been serving clients for more than a century, and we’ve been climbing the ranks of the nation’s largest firms for many years, according to both The Am Law 100 and The National Law Journal. 21 Goodfellow, Ian, et al. “Generative adversarial nets.” Advances in neural information processing systems. Regulators should clearly communicate these expectations to their constituents, along with the potential Secure and Compliant AI for Governments ramifications that will occur if these steps are not taken and an attack occurs. These shared vulnerability maps should be integrated into the attack response plans as well. Create maps showing how the compromise of one asset or system affects all other AI systems. Establishing a norm of hardening this “soft” target will be challenging because it goes against established habits and thoughts around data.

For a technology that was nascent a decade ago, AI is now being used as a key ingredient across every industry, from Main Street to Wall Street, from the baseball diamond to the battlefield. And on cue, as with every other recent technological development—the Internet, social media, and the Internet of Things—in our haste we are turning a blind eye to fundamental problems that exist. The Office of the Under Secretary for Civilian Security, Democracy, and Human Rights and its component bureaus and offices focus on issues related to AI and governance, human rights, including religious freedom, and law enforcement and crime, among others. The Office of the Under Secretary for Management uses AI technologies within the Department of State to advance traditional diplomatic activities, applying machine learning to internal information technology and management consultant functions. We want America to maintain our scientific and technological edge, because it’s critical to us thriving in the 21st century economy. As we look ahead to 2024, these recommendations become imperative for organizations striving to stay at the forefront of technological advancements, enhance efficiency, and use true data-driven insights to drive success.

What is the AI government called?

Some sources equate cyberocracy, which is a hypothetical form of government that rules by the effective use of information, with algorithmic governance, although algorithms are not the only means of processing information.


What is the Defense Production Act AI?

AI Acquisition and Invocation of the Defense Production Act

14110 invokes the Defense Production Act (DPA), which gives the President sweeping authorities to compel or incentivize industry in the interest of national security.

What are the compliance risks of AI?

IST's report outlines the risks that are directly associated with models of varying accessibility, including malicious use from bad actors to abuse AI capabilities and, in fully open models, compliance failures in which users can change models “beyond the jurisdiction of any enforcement authority.”

Why do we need AI governance?

The rationale behind responsible AI governance is to ensure that automated systems including machine learning (ML) / deep learning (DL) technologies, are supporting individuals and organizations in achieving their long terms objectives, whist safeguarding the interests of all stakeholders.

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