Government Use of AI Electronic Privacy Information Center

Built on advanced AI technologies, including OpenAI GPT and GPT-like platforms Ask Sage can ingest custom data (up to CUI/FOUO), tap into APIs, and connect to data lakes for real-time data and insights delivered as conversational engagement. With Ask Sage, users can access a wide range of data sources in a natural language format, supporting teams in labor-intensive tasks, allowing them to focus on strategic initiatives. Our self-hosted and cloud offerings provide integrated team messaging, audio and screen share, workflow automation and project management on an open source platform vetted and deployed by the world’s most secure and mission critical organizations.

Further, unlike many other cyberattacks in which a large-scale theft of information or system shutdown makes detection evident, attacks on content filters will not set off any alarms. Even in cases where the attacker does not have the model, it is still possible to mount an input attack. If attackers have access to the dataset used to train the model, they can use it to build their own copy of the model, and use this “copy model” to craft their attack.

Advancing Federal Government Use of AI

In order to properly regulate commercial firms in this domain, policymakers must understand how this commercial development of AI systems will progress. In one scenario, individual companies will each build their own proprietary AI systems. Because each company is building its own system, industries cannot pool resources to invest in preventative measures and shared expertise. However, this diversification limits the applicability of an attack on one AI system to be applied broadly to many other systems. Further, by not pooling dataset resources, a dataset breach will have limited consequences. As these AI-based law enforcement systems become more widespread, they will naturally become attack targets for criminals.

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 of State for Arms Control and International Security focuses on the security implications of AI, including potential applications in weapon systems, its impact on U.S. military interoperability with its allies and partners, its impact on stability, and export controls related to AI. The Department of State focuses on AI because it is at the center of the global technological revolution; advances in AI technology present both great opportunities and challenges. The United States, along with our partners and allies, can both further our scientific and technological capabilities and promote democracy and human rights by working together to identify and seize the opportunities while meeting the challenges by promoting shared norms and agreements on the responsible use of AI. VTech Solution offers a comprehensive suite of cloud, IT, and security resources and solutions to support public sector clients.

AI vs. human deceit: Unravelling the new age of phishing tactics

Besides, a more severe repercussion of data breaches is the loss of public trust in the government’s ability to protect their privacy. The feeling that their data is not secure may make citizens hesitate to make use of government services or provide required information for public programs. A robust legal framework supports a safer digital environment by providing well-defined guidelines for how governments will handle each citizen’s personal information. However, both governments and individuals alike need to remain vigilant and flexible as new threats emerge in this rapidly evolving landscape of governance powered by AI. Data breaches in government can have major challenges and consequences for both the government and its citizens. Unauthorized access continues to lead in rank in the breach of sensitive personal information, such as social security numbers, financial records, or medical history.

The problem with scientific data today is that most of it gets generated and may not be helpful or easy to find. In effect, to find data, you have to know where the data is – which repository is run by which organization, what variables are in it, and what’s the structure – to be able to query it. And if you need to bring multiple data together across various data domains and silos, it’s either impossible or would take a very long time.

Read more about Secure and Compliant AI for Governments here.