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NATO Launches AI Strategy and $1 Billion Fund As Defense Race Heats Up

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The North Atlantic Treaty Organization (NATO), the military alliance of 30 countries that border the North Atlantic Ocean, this week announced that it would adopt its first AI strategy and launch a "future-proofing" fund with the goal of investing around $1 billion. VentureBeat reports: Military.com reports that U.S. Defense Secretary Lloyd Austin will join other NATO members in Brussels, Belgium, the alliance's headquarters, to formally approve the plans over two days of talks. Speaking at a news conference, Secretary-General Jens Stoltenberg said that the effort was in response to "authoritarian regimes racing to develop new technologies." NATO's AI strategy will cover areas including data analysis, imagery, cyberdefense, he added. NATO's overtures come after a senior cybersecurity official at the Pentagon resigned in protest because of the slow pace of technological development at the department. Speaking to the press last week, Nicolas Chaillan, former chief software officer at the Air Force, said that the U.S. has "no competing fighting chance against China" in 15 to 20 years, characterizing the AI and cyber defenses in some government agencies as being at "kindergarten level."

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Federal Data Strategy 2021 action plan sets cross-agency goals on AI, upskilling workforce

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The Biden administration is directing agencies to work together on common data challenges — including accelerating the use of artificial intelligence in government and stemming wildfires — as part of the Federal Data Strategy.

The Federal Data Strategy development team, led by the Office of Management and Budget, released the strategy’s 2021 action plan Friday, setting new interagency goals for the year, while also assessing the progress agencies made under the last year’s action plan.

The 2021 action plan asks agencies to determine how much foundational work remains before they can shift into the next phase of the Federal Data Strategy — enterprisewide data standards and coordination of data, as well as using data to inform annual budget planning.

The administration expects agencies to start addressing those enterprisewide goals starting in 2023.

The Federal Data Strategy sets a 10-year vision for the state of data infrastructure in government. OMB expects agencies to optimize self-service data analytics capabilities starting in 2026.

Starting in 2029, the strategy expects agencies to reach the final stage of the strategy where they make proactive evidence-based decisions and automate data improvements.

The latest action plan sets deadlines for Dec. 31, but OMB acknowledges that given the timing of the release date, agencies will probably only get started on some of these “aspirational milestones” before the end of the calendar year.

Data Foundation President Nick Hart said the 2021 action plan marks “yet another sign of the continued maturation and leadership of federal chief data officers.”

He said the action plan also builds on recommendations and advice provided in a public forum hosted a year ago by the Data Coalition and data experts from industry and academia.

“The Data Coalition members appreciate that the action plan focuses on improving the data skills of the federal workforce and emphasizes the leadership role from the data, evaluation, and statistical officials created by the Evidence Act,” Hart said. “There are still many barriers to using data in government, but with leadership from the federal CDO Council and sustained resources, we will be more likely to realize the benefits of evidence-informed policy in practice.”

The latest action plan also gives added flexibility for agencies to complete goals in the 2020 action plan that have not been fully met.

The 2021 action plan outlines 11 goals for agencies to meet. Notable additions include “shared solution actions” that require input from multiple agencies to reach shared goals.

Among these shared solutions, the action plan tasks the Interior and Agriculture Departments to share data with other federal and state land management agencies to respond more effectively to wildfires.

It also tasks all agencies with documenting artificial intelligence use cases and significantly increasing AI expertise across the federal government and further investing in high-value areas of geospatial data infrastructure.

The State Department recently released a Geospatial Data Strategy, following the release of a broader Enterprise Data Strategy.

The Federal Geographic Data Committee has also developed a National Spatial Data Infrastructure Plan that sets overarching goals to ensure this data supports agency missions and spurs economic growth. The council maintains a platform that makes national geospatial data assets available to the public.

CDO Council developing workforce playbook

The 2021 action directs the Chief Data Officer Council with developing a data-skills workforce development playbook that will give agencies a roadmap for running data-skills training programs.

The report notes the Office of Personnel Management expects to issue a new data scientist job series later this year to facilitate the hiring of candidates with the appropriate skillsets. OPM first announced it was working on the job series in 2019, and highlighted it as a tool that would help agencies more easily recruit in-demand data talent.

Several interagency efforts this year have helped improve the data literacy of the federal workforce. The Chief Information Officer Council and CDO Council are creating tools to assist agencies with upskilling employees for data skills, and the Interagency Council on Statistical Policy (ICSP) is leading training and mentoring programs.

Additionally, the CIO Council has released materials for agencies to build their own data-science training programs. The General Services Administration also released a data skills catalog outlining case studies of agencies upskilling their employees.

Meanwhile, the first cohort of 61 federal employees to enroll in the OMB’s data science upskilling effort graduated from the program in May.

‘Lack of published guidance’ hampered progress

The latest action plan also urges agencies to continue gathering data needed for agency learning agendas, improving data governance and building governmentwide data dashboards.

The 2021 action plan recognizes varying levels of data maturity at agencies, and that some agencies had an easier time meeting last year’s goal than others.

The latest action plan also acknowledges some milestone dates in the 2020 action plan “were unachievable because of a lack of published guidance.”

“The increased flexibility for 2021 encourages agencies to tackle areas that best serve their mission (e.g., for some agencies it may be data governance, while for others it may be workforce development or data management and interoperability) and learn from each other throughout the process,” the action plan states.

OMB said future action plans will focus on a coordinated and collaborative approach to federal data stewardship, and tasks the CDO Council with carrying out much of this work.

“The newly formed CDO Council will continue to foster information-sharing and cross-agency collaboration among CDOs. Sustained cross-council collaboration will facilitate interagency partnership,” OMB wrote.

CDO Council chairman Ted Kaouk, speaking recently at the council’s first public meeting, said members are building a data foundation that’s essential for the administration’s biggest goals, including COVID-19 recovery, climate change and equity in government.

The council last year stood up a COVID-19 working group that shared the Department of Health and Human Services’ pandemic data across government, and worked with the State Department to create a dashboard on international COVID cases.

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Ransomware Sinks Teeth into Candy-Corn Maker Ahead of Halloween

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Chicago-based Ferrara acknowledged an Oct. 9 attack that encrypted some systems and disrupted production.
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Man Arrested For Uncensoring Japanese Porn With AI In First Deepfake Case

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An anonymous reader quotes a report from Motherboard: Japanese police on Monday arrested a 43-year-old man for using artificial intelligence to effectively unblur pixelated porn videos, in the first criminal case in the country involving the exploitative use of the powerful technology. Masayuki Nakamoto, who runs his own website in the southern prefecture of Hyogo, lifted images of porn stars from Japanese adult videos and doctored them with the same method used to create realistic face swaps in deepfake videos. But instead of changing faces, Nakamoto used machine learning software to reconstruct the blurred parts of the video based on a large set of uncensored nudes and sold the content online. Penises and vaginas are pixelated in Japanese porn because an obscenity law forbids the explicit depictions of genitalia. Nakamoto reportedly made about $96,000 by selling over 10,000 manipulated videos, though he was arrested specifically for selling 10 fake photos at about $20 each. Nakamoto pleaded guilty to charges of copyright violation and displaying obscene images and said he did it for money, according to NHK. He was caught when police conducted a "cyber patrol," the Japanese broadcaster reported. "This is the first case in Japan where police have caught an AI user," Daisuke Sueyoshi, a lawyer who's tried cybercrime cases, told VICE World News. "At the moment, there's no law criminalizing the use of AI to make such images." For example, Nakamoto was not charged with any offenses for violating the privacy of the actors in the videos.

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Marine Corps Base Camp Pendleton: Marine Corps Establishes The Information Development ...

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Within the IDI, information civilian Marines have access to a learning network to include the IDI Pluralsight learning platform, technical ...
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Distributed Maritime Operations: A Resilient Force Structure Enabled By JADC2

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The Marine Corps' Ground/Air Task-Oriented Radar (G/ATOR) and the Navy's Surface Electronic Warfare Improvement Program (SEWIP) Block 3 program enable ...
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