Staff Shortage, Limited Budgets, and Antiquated Systems: The Federal Governments Need for Conversational AI

Previous models focused on a specific modality, such as vision, and tended to be specialized in particular tasks. Today’s most widely used and advanced systems, by contrast, like Google’s recently announced Gemini, can see, hear, read, write, speak, code, and produce images. Although there is significant uncertainty, the next generation of foundation models—in particular, those trained using substantially greater computational resources than any model trained to date—may have these kinds of dangerous capabilities.

Just as officers are dispatched to an intersection when a traffic light is broken, similar responses will be needed. In this case however, the response will need to be immediate—humans can still navigate a broken traffic light relatively well, but a driverless car will run a now “invisible” stop sign without the human passengers having a chance to intervene. This response plan may also require expanded partnerships and information sharing agreements with other entities, such as companies controlling the technology. Further, the response plan will require training and coordination such that officers will be equipped to recognize that seemingly harmless graffiti or vandalism may actually be an attack, and then know to activate the appropriate response plan. There are other scenarios in which intrusion detection will be significantly more difficult. As previously discussed, many AI systems are being deployed on edge devices that are capable of falling into an attacker’s hands.

EPIC Letter to Attorney General Garland Re: Title VI Compliance and Predictive Algorithms

Document management is also critical for education, state and local governments, and health care organizations. Customers like these that manage large amounts of structured and unstructured data and documents can consider deploying Quantiphi’s QDox, an intelligent document processing solution built by Quantiphi and powered by AWS. When governments worldwide need to https://www.metadialog.com/governments/ make their content accessible, they turn to AI-Media. We offer all the AI-powered, high accuracy captioning technology you need in one place to ensure accessibility compliance while keeping data secure. Whether you need to caption a legislative proceeding, municipal council meeting, press briefing or an ad campaign, our solutions make it easy and cost-effective.

• Therefore, all reasonable regulation attempts should follow the principle of “the greater the risk, the stricter the requirements”.
• In this respect, entities such as social networks may not even know they are under attack until it is too late, a situation echoing the 2016 U.S. presidential election misinformation campaigns.
• If confronted with better content filters, they are likely to be the first adopters of AI attacks against these filters.
• This spectrum affirms that vulnerability to attacks does not necessarily mean that a particular application is ill-suited for AI.

Or, if there’s a storm and a downed powerline near you, AI can send targeted notifications to all the area residents to avoid potentially dangerous situations. Remember when ChatGPT exploded onto the scene and showed us how useful conversational AI could be? EPIC’s work is funded by the support of individuals like you, who help us to continue to protect privacy, open government, and democratic values in the information age. Leverage a leading enterprise Agile planning solution to scale Agile best practices and gain the flexibility to modernize application delivery without the need to replace existing technology. CMMC 2.0 is expected to become the official standard for cybersecurity certification in…

Security and Compliance

Additionally, within 365 days, the Secretary of Commerce, through the Director of the NIST, is tasked with creating guidelines for agencies to evaluate the efficacy of differential-privacy-guarantee protections, including those related to AI. Additionally, the memorandum will direct actions to counter potential threats from adversaries and foreign actors using AI systems that may jeopardize U.S. security. With thoughtful implementation guided by ethics and equity from the start, governments can demonstrate AI’s immense capability to enhance lives while building vital public trust over time.

Once trained, a model is just a file living within a computer, no different than an image or PDF document. Attackers can hack the systems holding these models, and then either alter the model file or replace it entirely with a poisoned model file. In this respect, even if a model has been correctly trained with a dataset that has been thoroughly verified and found not poisoned, this model can still be replaced with a poisoned model at various points in the distribution pipeline.

SAIF ensures that ML-powered applications are developed in a responsible manner, taking into account the evolving threat landscape and user expectations. Google has an imperative to build AI responsibly, and to empower others to do the same. Our AI Principles, published in 2018, describe our commitment to developing technology responsibly and in a manner that is built for safety, enables accountability, and upholds high standards of scientific excellence.

The first action point on the EO is the most significant, as it highlights the importance of national security and requires companies to responsibly develop and utilize the most powerful or impactful AI systems. It will be necessary to notify the government and share their safety test results and other critical information with the U.S. government before publicizing these new materials. This is a prominent step that attempts to address protecting national security and public health. Furthermore, the Biden administration wishes to develop standards, tools, and tests to help ensure that AI systems are safe, secure, and trustworthy for the military and intelligence community, private sector, and governments worldwide. A secure cloud fabric is a powerful tool that can help the federal government meet its evolving data management and processing needs.

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A highly regulated approach to AI development, like in the European model, could help to keep people safe, but it could also hinder innovation in countries that accept the new standard, something EU officials have said they want in place by the end of the year. That is why many industry leaders are urging Congress to adopt a lighter touch when it comes to AI regulations in the United States. They argue that the United States is currently the world’s leader in AI innovation, and strict regulations would severely hinder that. Upon reading your post, one thought that occurred to me is that we would benefit from a standardization of what components comprise of an AI system, as a key ingredient required for AI safety, security and trustworthiness in the supply chain. This being similar to the SBOM (Software Bill of Materials), a concept for application software per nascent definition in US cyber mandate in 2021 Executive Order. Many benefits come to mind including using an AI bill of materials data in conjunction with the measures specified, such as testing results and AI vulnerabilities, over time to track and understand objectively how we are doing.

Leaders from the boardroom to the situation room may similarly suffer from unrealistic expectations of the power of AI, thinking it has human intelligence-like capabilities beyond attack. This may lead to premature replacement of humans with algorithms in domains where the threats of attack or failure are severe yet unknown. This will hold particularly true for applications of AI to safety and national security. AI security compliance programs should be enforced for portions of both the public and private sectors.