La r\u00e1pida adopci\u00f3n y la evaluaci\u00f3n de ChatGPT, destaca el potencial explosivo de la IA. Tambi\u00e9n subraya una alerta entre las capacidades actuales de la IA y la voluntad humana de adoptarlas. Este potencial sin explotar es quiz\u00e1s m\u00e1s evidente en el sector p\u00fablico, donde la IA es tanto defendida como temida, ya que ofrece emocionantes casos de uso federal pero carece de orientaci\u00f3n pol\u00edtica y madurez a escala.<\/p>\n
The rapid adoption and scrutiny around ChatGPT, the latest artificial intelligence model, highlights the exploding potential of AI. It also underscores a stark delta between AI\u2019s current capabilities and human willingness to embrace them.<\/p>\n
This untapped potential is perhaps most apparent in the public sector where AI is both championed and feared – offering exciting federal use cases but lacking policy guidance and maturity at scale.<\/p>\n
So how can agencies better leverage AI? Results of a\u00a0recent SAIC survey<\/a>\u00a0<\/a>uncover a need to improve overall AI readiness to enable the technology\u2019s integration and benefit from it.<\/p>\n The independent survey of federal government executives revealed that while AI is on respondents\u2019 radar, fewer than one in five are \u201cvery\u201d likely to adopt AI in the next year. Further, it indicates that AI readiness is a major barrier to implementation with one-third of respondents stating they do not believe their agency is ready for AI.<\/p>\n To overcome this paradigm, agency leaders must clear up the common misconception that AI\/ML infrastructure, data governance and efficiency must be perfectly aligned to get started with adoption. In reality, leaders can pilot AI confidently while developing equally important governance processes and risk frameworks in parallel.<\/p>\n With more than\u00a0600 AI projects<\/a>\u00a0currently underway, the U.S. Department of Defense is a great example of an agency prioritizing progress over perfection. By powering approachable AI while responsibly navigating its unknowns, DoD is blazing the trail for other agencies to follow, and as the largest agency in the Federal government, setting the standard for adoption and use.<\/p>\n Below are four focus areas other agencies can and should emulate.<\/p>\n A Data-First Posture<\/strong><\/p>\n Good data management opens the door for successful AI, and the Pentagon\u2019s new\u00a0Chief Digital and Artificial Intelligence Office<\/a>, ranks driving high-quality data among its top priorities.<\/p>\n The CDAO recently reassembled a\u00a0Global Information Dominance experiment<\/a>\u00a0called GIDE V to underscore how \u201cdata, analytics and AI can improve joint workflows in a variety of missions\u201d including its signature Joint All-Domain Command and Control, or JADC2, effort.<\/p>\n By connecting AI to its ability to automate repetitive processes and bring intelligence to many tasks at speed, the Pentagon is showcasing its ability to support the warfighter, thus building confidence in AI-enabled systems.<\/p>\n Agency-Specific Guidance<\/strong><\/p>\n The federal government has sought to advance AI technology development and adoption through several important bills and resolutions, but agencies need tangible agency-specific guidance and use cases to implement AI at scale.<\/p>\n SAIC\u2019s study revealed that while some agencies have AI-specific guidelines, most have yet to implement a policy with 57% reporting the biggest obstacle to implementation, other than readiness, is policy and governance.<\/p>\n This need for better policy and governance is already being addressed by the CDAO office, which is charged with guiding AI innovation across the department.<\/p>\n Additionally, the U.S. was the first military in the world to formally adopt AI Ethical Principles in February 2020 and has an AI Education Strategy in place at all levels to drive change management and AI receptivity.<\/p>\n Optimizing Cloud<\/strong><\/p>\n Improving the cloud environment opens the door for AI and ML by enabling faster, cost-effective government innovation and capability.<\/p>\n Survey respondents believe that adopting more than one cloud allows agencies to take advantage of the best solutions from cloud providers, ensuring they have the right tool for the right job. In fact, 70% of survey respondents reported that they use two or more clouds.<\/p>\n DoD\u2019s Joint Warfighting Cloud Capability<\/a>\u00a0supports these findings and the Pentagon\u2019s AI and data acceleration initiative by enabling commercial cloud across multiple contracts, providing access at all classification levels and powering the tactical edge.<\/p>\n Enabling Zero Trust<\/strong><\/p>\n According to the study, agencies see value in DevSecOps, but 39% say they lack the resources and technical skills to manage it.<\/p>\n Ensuring these frameworks and tools are in place is paramount when it comes to addressing AI fears and avoiding disruption, a factor DoD respondents are still concerned with.<\/p>\n Fifty-four percent of DOD personnel were concerned about AI disruptions when compared to civilian employees (39%), likely because the Pentagon is becoming more sophisticated in its AI journey.<\/p>\n DoD\u2019s chief information officer set a goal to fully implement zero trust by FY27, and DOD\u2019s\u00a0zero trust strategy<\/a>\u00a0is helping define the approach at the enterprise level.<\/p>\n Combined, these measures embrace zero trust and DevSecOps to support secure modernization at speed, cloud at the edge and real-time data interoperability.<\/p>\n Our nation\u2019s future force and national security depend on an AI-enabled infrastructure that sustains America\u2019s competitive and asymmetric advantage. DoD\u2019s willingness to lead the charge in AI readiness with measured ingenuity should be applauded, not feared, and embraced across the Federal government.<\/p>\n