Artificial Intelligence Solutions by viAct for Government & Public Sector in Saudi Arabia, Dubai, India, Hong Kong, Singapore, China, Japan, Australia, United Stated and Many More AI in Government

Local government agencies should consult with legal experts, state regulatory bodies, and insurance providers to ensure that they have adequate protection and risk management strategies in place. Most regulatory bodies and government agencies have not mastered this subject yet, so it is important that every government officer takes the time to ensure their AI solution providers address this risk when procuring such systems. At CogAbility, we provide responsible AI solutions for local government agencies including Tax Collectors, Clerks of Court, Property Appraisers and more. Most of our solutions generate 2X to 10X ROI for our clients without entailing much, if any, risk.

Governments recognize that cyber threats are not confined within national borders; therefore, collaboration among countries becomes essential in combating these risks effectively. Sharing best practices, intelligence on emerging threats, and collaborating on cross-border investigations help strengthen overall cybersecurity defenses. By working together, governments can agree on common standards for data privacy and security. International cooperation further opens up the opportunity for the sharing of knowledge and technical expertise on emerging threats and vulnerabilities in AI systems.

Executive Order on the Safe, Secure, and Trustworthy Development and Use of Artificial Intelligence

An Australian company NearMap has developed an AI tool that provides land identification and segmentation from aerial images. The precision of the AI models is highly dependent on the quality and quantity of the medical images dataset. V7’s intelligent labeling tool speeds up the annotation process and provides an end-to-end tool for medical data management. Thanks to technological advancements like computer vision, object detection, drone tracking, and camera-based traffic systems, government organizations can analyze crash data and highlight areas with a high likelihood of accidents. Even though the AI Bill of Rights is merely a guideline, there have been calls for the government to make it binding, at least in how it applies to federal agencies.

Although the EO places potential restrictions on developers and companies alike, it encourages investment in the space. There is immense potential to democratize AI advancements, giving people and private companies more autonomy rather than relying on major tech companies. Moreover, with proper regulations, the government can drive more innovation with AI technology to prioritize societal benefits. As the future of work moves towards an AI-powered digital workspace, it’s becoming increasingly critical for government agencies to embrace this change to stay ahead of the curve and seize opportunities to enhance efficiency, drive innovation, and improve citizen services. However, such talking-thinking computers and droids need to be fully capable of human-like thinking — to command artificial general intelligence (AGI) or artificial superintelligence (ASI), yet neither AGI nor ASI have been invented yet, and will hardly be so in the foreseeable future.

Responsible & Transparent AI

The evolving nature of technology requires ongoing adaptation of policies, resilience building against emerging risks, and regular updates to existing frameworks. Steps taken by governments to address data privacy and security concerns are crucial in an AI-driven world. Recognizing the importance of safeguarding citizens’ personal information, many governments have implemented measures to protect data privacy and enhance security. In addition, challenges that concern transparency and accountability are of importance in a government driven by AI. As AI systems grow into more complex and independent forms, individuals find it more difficult and worrisome to understand how and what their data is being used for, and if these algorithmic decisions remain fair. Governments need to proliferate mechanisms that support a transparent, accountable, and harm-free automated decision-making process.

By removing foreign assets that are dangerous, illegal, or against the terms-of-service of a particular application, they keep platforms healthy and root out infections. Once attackers have chosen an attack form that suits their needs, they must craft the input attack. The difficulty of crafting an attack is related to the types of information available to the attacker. However, it is important to note that attacks are still practical (although potentially more challenging to craft) even under very difficult and restrictive conditions. Unlike visible attacks, there is no way for humans to observe if a target has been manipulated. Input attacks trigger an AI system to malfunction by altering the input that is fed into the system.

AI Training Act

Our research shows, however, that the role countries are likely to assume in decarbonized energy systems will be based not only on their resource endowment but also on their policy choices. For more information on federal programs and policy on artificial intelligence, visit ai.gov. Additionally, conversational AI offers to revolutionize the operations and missions of all public sector agencies. Public sector organizations embracing conversational AI stand to be further ahead of their counterparts due to the technology’s ability to optimize operational costs and provide seamless services to its citizens. By addressing the top 10 threats of AI outlined above, local government officials & their vendors can ensure that applications of AI to local government are safe, ethical, effective, and sustainable for the long term.

A U.S. military transitioning to a new era of adversaries that are its technological equals or even superiors must develop and protect against this new weapon. Law enforcement, an industry that has perhaps fallen victim to technological upheaval like no other, risks its efforts at modernizing being undermined by the very technology it is looking at to solve its problems. Commercial applications that are using AI to replace humans, such as self-driving cars and the Internet of Things, are putting vulnerable artificial intelligence technology onto our streets and into our homes. Segments of civil society are being monitored and oppressed with AI, and therefore have a vested interest in using AI attacks to fight against the systems being used against them. (i)    As generative AI products become widely available and common in online platforms, agencies are discouraged from imposing broad general bans or blocks on agency use of generative AI.

Search Lawfare

(iii)  ensure that such efforts are guided by principles set out in the NIST AI Risk Management Framework and United States Government National Standards Strategy for Critical and Emerging Technology. (iv)   convening a cross-agency forum for ongoing collaboration between AI professionals to share best practices and improve retention. (iii)  Within 180 days of the date of this order, the Director of the Office of Personnel Management (OPM), in coordination with the Director of OMB, shall develop guidance on the use of generative AI for work by the Federal workforce. (iv)   encouraging, including through rulemaking, efforts to combat unwanted robocalls and robotexts that are facilitated or exacerbated by AI and to deploy AI technologies that better serve consumers by blocking unwanted robocalls and robotexts. (F)  enable the analysis of whether algorithmic systems in use by benefit programs achieve equitable outcomes.

• Continuing the social network example, sites relying on content filtering may need response plans that include the use of other methods, such as human-based content auditing, to filter content.
• While these security steps will be a necessary component of defending against AI attacks, they do not come without cost.
• These models can be adapted to specific tasks, including content generation, summarization, semantic search, and natural language-to-code translation.
• The guidelines also warn against choosing more complex models that might be more difficult to secure.
• In terms of implementing these suitability tests, regulators should play a supportive role.

For example, is the case of a user sending the same image to a content-filter one hundred times 1) a developer diligently running tests on a newly built piece of software, or 2) an attacker trying different attack patterns to find one that can be used to evade the system? System operators must invest in capabilities able to alert them to behavior that seems to be indicative of attack formulation rather than valid use. A fourth major attack surface is the rapid artificial intelligence-fication of traditionally human-based tasks. Although some of these applications are within apps and services where attacks would not have serious societal consequences, attacks on other applications could prove very dangerous. Self-driving vehicles and trucks rely heavily on AI to drive safely, and attacks could expose millions to danger on a daily basis.

Oregon Establishes State Government AI Advisory Council

And if an AI is doing it, people should be able to request to opt out of that process and instead have their application looked at by real people. For example, NASA and the National Oceanic and Atmospheric Administration recently tasked AI with predicting potentially deadly solar storms, and the AI is now able to give warnings about those events up to 30 minutes before a storm even forms on the surface of the sun. And in November, emergency managers from around the country will meet to discuss tasking AI with predicting storms and other natural disasters that originate right here on Earth, potentially giving more time for evacuations or preparations and possibly saving a lot of lives. Meanwhile, over in the military, unmanned aerial vehicles and drones are being paired up with AI in order to help generate better situational awareness, or even to fight on the battlefields of tomorrow, keeping humans out of harm’s way as much as possible. The summit, on the other hand, aimed to build global consensus on AI risk and open up models for government testing – both of which it achieved (see here for Ian Hogarth’s overview).

Government agencies can improve their operational efficiency and decision-making processes by automating responses, generating summaries, enhancing information discovery, and using natural language queries. Access to the Azure OpenAI Service can be achieved through REST APIs, the Python SDK, or the web-based interface in the Azure AI Studio. With Azure OpenAI Service, government customers and partners can scale up and operationalize advanced AI models and algorithms.

White House moves to ease education requirements for federal cyber jobs

The principles promote inclusive growth, human-centered values, transparency, safety and security, and accountability. The Recommendation also encourages national policies and international cooperation to invest in research and development and support the broader digital ecosystem for AI. The Department of State champions the principles as the benchmark for trustworthy AI, which helps governments design national legislation.

The rapid evolution in AI technology has led to a huge boom in business opportunities and new jobs — early reports suggest AI could contribute nearly $16 trillion to the global economy by 2030. AvePoint provides the most advanced platform to optimize SaaS operations and secure collaboration. More than 17,000 customers worldwide rely on our solutions to make them more productive, compliant and secure.

This can include using strong passwords, enabling two-factor authentication whenever possible, and regularly updating software and applications to ensure they have the latest security patches. The General Data Protection Regulation (GDPR) in Europe is one very important one that applies strict rules about the collection, storage, and use of personal data. It offers individuals so much control over their information and demands that organizations obtain necessary consent before going into processing. We’re excited to share the first steps in our journey to build a SAIF ecosystem across governments, businesses and organizations to advance a framework for secure AI deployment that works for all. (b)  This order shall be implemented consistent with applicable law and subject to the availability of appropriations.

While we believe that open sourcing of non-frontier AI models is currently an important public good, open sourcing frontier AI models should be approached with great restraint. The capabilities of frontier AI models are not reliably predictable and are often difficult to fully understand even after intensive testing. It took nine months after GPT-3 https://www.metadialog.com/governments/ was widely available to the research community before the effectiveness of chain-of-thought prompting—where the model is simply asked to “think step-by-step”—was discovered. Researchers have also regularly induced or discovered new capabilities after model training through techniques including fine tuning, tool use, and prompt engineering.

Artificial Intelligence systems deployed irresponsibly have reproduced and intensified existing inequities, caused new types of harmful discrimination, and exacerbated online and physical harms. It is necessary to hold those developing and deploying AI accountable to standards that protect against unlawful discrimination and abuse, including in the justice system and the Federal Government. Only then can Americans trust AI to advance civil rights, civil liberties, equity, and justice for all.