{"id":33221,"date":"2023-07-14T12:40:55","date_gmt":"2023-07-14T12:40:55","guid":{"rendered":"https:\/\/one.sightlinemg.com\/c4isrnet\/uncategorized\/2023\/07\/14\/a-sensible-approach-to-ai-regulation\/"},"modified":"2026-08-08T18:39:37","modified_gmt":"2026-08-08T18:39:37","slug":"a-sensible-approach-to-ai-regulation","status":"publish","type":"post","link":"https:\/\/one.sightlinemg.com\/c4isrnet\/it-networks\/2023\/07\/14\/a-sensible-approach-to-ai-regulation\/","title":{"rendered":"A sensible approach to AI regulation"},"content":{"rendered":"\n<p class=\"wp-block-paragraph\">Americans have watched as AI systems <a href=\"https:\/\/www.theverge.com\/2018\/7\/26\/17615634\/amazon-rekognition-aclu-mug-shot-congress-facial-recognition\">incorrectly matched 28 members<\/a> of Congress to criminal mugshots, <a href=\"https:\/\/time.com\/5520558\/artificial-intelligence-racial-gender-bias\/\">demonstrated bias<\/a> against women and people of color, and caused a lawyer to <a href=\"https:\/\/arstechnica.com\/tech-policy\/2023\/05\/lawyer-cited-6-fake-cases-made-up-by-chatgpt-judge-calls-it-unprecedented\/\">inadvertently cite fake cases<\/a>.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">In a recent MITRE-Harris Poll survey, most Americans <a href=\"https:\/\/www.mitre.org\/news-insights\/news-release\/mitre-harris-poll-finds-lack-trust-among-americans-ai-technology\">expressed reservations about AI for high-value applications<\/a> such as autonomous vehicles, accessing government benefits, and healthcare. Only 48% believe AI is safe and secure, and 78% are very or somewhat concerned that AI can be used for malicious intent. And 82% percent are in favor of government regulation for AI.<\/p>\n\n\n\t<aside class=\"smg-interstitial-link wp-block-smg-interstitial-link\">\n\t\t<a href=\"https:\/\/one.sightlinemg.com\/c4isrnet\/artificial-intelligence\/2023\/07\/05\/us-military-calls-for-better-weapons-to-fight-artificial-intelligence\/\" class=\"smg-interstitial-link__inner\">\n\t\t\t\t\t\t\t<div class=\"smg-interstitial-link__media\">\n\t\t\t\t\t<img loading=\"lazy\" decoding=\"async\" width=\"300\" height=\"225\" src=\"https:\/\/one.sightlinemg.com\/wp-content\/uploads\/2026\/08\/18_special_pentagon.jpg.jpg?w=300\" class=\"smg-interstitial-link__image wp-post-image\" alt=\"\" \/>\t\t\t\t<\/div>\n\t\t\t\t\t\t<div class=\"smg-interstitial-link__content\">\n\t\t\t\t<span class=\"smg-interstitial-link__kicker\">Related<\/span>\n\t\t\t\t<h3 class=\"smg-interstitial-link__title\">US military calls for better weapons to fight artificial intelligence<\/h3>\n\t\t\t\t\t\t\t\t\t<p class=\"smg-interstitial-link__excerpt\">The fight in Ukraine has underscored just how effective smart tech accessible to anyone may be in neutralizing the elaborate tools of conventional warfare.<\/p>\n\t\t\t\t\t\t\t<\/div>\n\t\t<\/a>\n\t<\/aside>\n\t\n\n\n<p class=\"wp-block-paragraph\">Even Sam Altman, CEO of OpenAI, the company behind ChatGPT, <a href=\"https:\/\/blog.samaltman.com\/machine-intelligence-part-2\">has called for regulation<\/a>.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">The rapid growth of large language models (LLMs) like ChatGPT have changed how people view AI. It has become anthropomorphized and viewed as a standalone entity with its own agency and objectives. This is very different than only a year ago when AI was understood by most to be smart software that lived inside a digital system. When contemplating an approach to AI regulation, it is helpful to treat these two models differently.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">For AI as a component within an engineered system, AI assurance\u2013assuring that an AI application does what it\u2019s expected to without unacceptable risks, and in the right context at the right time\u2013is the name of the game. As with any software component, we need testing and validation that verifies things like robustness, security, and correctness. The best equipped to evaluate these attributes are the existing regulators who already have responsibility for relevant industries like healthcare or critical infrastructure. These regulators would be the right group to evaluate risk within the context of their own industry norms.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">However, this new domain of LLMs with human-like behaviors and understanding requires a different approach. There are a few scenarios to consider.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">First, humans will use AI as a co-pilot to make them more efficient in unwanted or criminal digital behavior, like cyberattacks or misinformation campaigns. While the LLM here is an enabler, the human ultimately remains responsible for their AI-augmented actions in cyberspace. We must ensure we can prevent, defend, remediate, and attribute these actions\u2014 much as we do today\u2014but at what will likely become a larger scale.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">Second, humans will give agentic AI systems malicious goals. For example, AgentGPT is an instance of GPT with internet access that attempts to execute a high-level task by developing and executing a series of derivative tasks. ChaosGPT is an instance of AgentGPT tasked with exterminating humanity. Fortunately, ChaosGPT has not made much progress in hacking into any national nuclear arsenals, but it represents a hyperbolic example of what may come. Expect criminal ransomware groups to begin using these tools in the near future.<\/p>\n\n\n\n<h2 class=\"wp-block-heading\">Human accountability<\/h2>\n\n\n\n<p class=\"wp-block-paragraph\">Addressing this scenario, solutions include holding accountable the human who gave the system the malicious goal and continuing to increase the assurance level of critical digital infrastructure to prevent AI-orchestrated network intrusions from being successful. Interfaces where AI is deliberately connected to such systems should also be carefully regulated.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">Third, there is considerable concern around AI systems that inadvertently establish their own sub goals that could be unintentionally dangerous. While this may occur, it is just as, if not more likely, that malicious humans will give AI dangerous sub goals. Thus, the solutions to this scenario are the same as the above example.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">A few other thoughts on how we can avoid potential dangers with AI technologies without choking innovative research and development:<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">\u2014 Best practices and regulatory standards that apply to traditional software should also extend to AI components. However, it\u2019s important to acknowledge that AI software may introduce unique vulnerabilities that demand assurance measures, including testing standards, standardized code development practices, and rigorous validation frameworks.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">\u2014 Regulated industries should develop a response plan based on the National Institute of Standards and Technology (NIST) AI Risk Management Framework. Compliance with the NIST framework should be the starting point for identifying potential regulatory approaches in these industries.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">\u2014 Development of \u201cassurance cases\u201d prior to deployment would provide documented evidence of a system\u2019s compliance with critical assurance properties and behavior boundaries.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">\u2014 For AI intended to augment human capabilities, regulation should prioritize system transparency and auditability. Holding individuals accountable for intentionally misusing AI to cause harm requires documenting their intent and execution of such intent.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">We can complement regulatory efforts with more investment in research to create a common vocabulary and frameworks for AI alignment that will guide future research efforts, ensuring that advancements in AI align with human values and societal well-being. And it\u2019s essential that we invest more in R&amp;D to automatically detect fake content.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">The AI revolution is moving so rapidly that we can\u2019t wait long to address these concerns. If we act now, creating the baseline regulations for AI assurance, we can ensure that AI technologies operates in a safe and accountable manner. We need thoughtful regulation that balances innovation with risk mitigation to harness the full potential of AI while safeguarding our society.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\"><a href=\"https:\/\/www.mitre.org\/who-we-are\/our-people\/charles-clancy\"><i>T. Charles Clancy<\/i><\/a><i> is a senior vice president at MITRE, where he serves as general manager for MITRE Labs and chief futurist. This article is adapted from the recently published paper, \u201c<\/i><a href=\"https:\/\/www.mitre.org\/news-insights\/publication\/sensible-regulatory-framework-ai-security\"><i>A Sensible Regulatory Framework for AI Security<\/i><\/a><i>.\u201d<\/i><\/p>\n","protected":false},"excerpt":{"rendered":"<p>Humans will use AI as a co-pilot to make them more efficient in unwanted or criminal digital behavior, like cyberattacks or misinformation campaigns.<\/p>\n","protected":false},"author":7,"featured_media":39254,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"_acf_changed":false,"_yoast_wpseo_meta-robots-noindex":"","_yoast_wpseo_meta-robots-nofollow":"","_yoast_wpseo_canonical":"","_acf":"","_yoast_wpseo_primary_category":16,"_jetpack_feature_clip_id":0,"_jetpack_memberships_contains_paid_content":false,"footnotes":"","_smg_distribution_targets":{"8":{"categories":["home","cloud","opinions"],"primary_category":"opinions"}}},"categories":[7,43,29,16,36,24],"tags":[],"coauthors":[7785],"class_list":["post-33221","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-battlefield-tech","category-cyber-flag","category-home","category-it-networks","category-it-networks-battlefield-tech","category-opinion"],"acf":{"subheadline":"","legacy_arc_id":"WPHEI2LGYNAIHL6BVFFM5NDZ5Y","arc_canonical_url":"\/it-networks\/2023\/07\/14\/a-sensible-approach-to-ai-regulation\/","remove_feature_photo":false,"is_sponsored":false,"subtype":"","redirect_url":"","disable_inline_ads":false,"native_logo_pretext":"Presented By:"},"yoast_head":"<!-- This site is optimized with the Yoast SEO Premium plugin v26.0 (Yoast SEO v28.1) - https:\/\/yoast.com\/product\/yoast-seo-premium-wordpress\/ -->\n<title>A sensible approach to AI regulation - C4ISRNet<\/title>\n<meta name=\"description\" content=\"Humans will use AI as a co-pilot to make them more efficient in unwanted or criminal digital behavior, like cyberattacks or misinformation campaigns.\" \/>\n<meta name=\"robots\" content=\"noindex, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"A sensible approach to AI regulation\" \/>\n<meta property=\"og:description\" content=\"Humans will use AI as a co-pilot to make them more efficient in unwanted or criminal digital behavior, like cyberattacks or misinformation campaigns.\" \/>\n<meta property=\"og:url\" content=\"https:\/\/one.sightlinemg.com\/c4isrnet\/it-networks\/2023\/07\/14\/a-sensible-approach-to-ai-regulation\/\" \/>\n<meta property=\"og:site_name\" content=\"C4ISRNet\" \/>\n<meta property=\"article:published_time\" content=\"2023-07-14T12:40:55+00:00\" \/>\n<meta property=\"article:modified_time\" content=\"2026-08-08T18:39:37+00:00\" \/>\n<meta name=\"author\" content=\"T. 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