Connect with us

Artificial Intelligence

U.S. Special Operations Command Employs AI and Machine Learning to Improve Operations

Published

on

Screenshot from the webinar

December 11, 2020 — In today’s digital environment, winning wars requires more than “boots on the ground.” It also requires computer algorithms and artificial intelligence.

The United States’ Special Operations Command is currently playing a critical role advancing the employment of AI and machine learning in the fight against the country’s current and future advisories, through Project Maven.

To discuss the initiatives taking place as part of the project, General Richard Clarke, who currently serves as the Commander of USSOCOM, and Richard Shultz, who has served as a security consultant to various U.S. government agencies since the mid-1980s, joined the Hudson Institute for a virtual discussion on Monday.

Among other objectives, Project Maven aims to develop and integrate computer-vision algorithms needed to help military and civilian analysts encumbered by the sheer volume of full-motion video data that the Department of Defense collects every day in support of counterinsurgency and counter terrorism operation, according to Clarke.

When troops carry out militarized site exploration, or military raids, they bring back copious amounts of computers, papers, and hard drives, filled with potential evidence. In order to manage enormous quantities of information in real time to achieve strategic objectives, the Algorithmic Warfare Cross-Function task force, launched in April 2017, began utilizing AI to help.

“We had to find a way to put all of this data into a common database,” said Clarke. “Over the last few years, humans were tasked with sorting through this content — watching every video, and reading every detainee report. A human cannot sort and shift through this data quickly and deeply enough,” he said.

AI and machine learning have demonstrated that algorithmic warfare can aid military operations.

Project Maven initiatives helped “increase the frequency of raid operations from 20 raids a month to 300 raids a month,” said Schultz. “AI technology increases both the number of decisions that can be made, and the scale. Faster more effective decisions on your part, are going to give enemies more issues.”

Project Maven initiatives have increased the accuracy of bomb targeting. “Instead of hundreds of people working on these initiatives, today it is tens of people,” said Clarke.

AI has also been used to rival adversary propaganda. “I now spend over 70 percent of my time in the information environment. If we don’t influence a population first, ISIS will get information out more quickly,” said Clarke.

AI and machine learning tools, enable USSOCOM to understand “what an enemy is sending and receiving, what are false narratives, what are bots, and more,” the detection of which allows decision makers to make faster, and more accurate, calls.

Military use of machine learning for precision raids and bomb strikes naturally raises concerns. In 2018, more than 3,000 Google employees signed a petition in protest against the company’s involvement with Project Maven.

In an open letter addressed to CEO Sundar Pichai, Google employees expressed concern that the U.S. military could weaponize AI and apply the technology towards refining drone strikes and other kinds of lethal attacks. “We believe that Google should not be in the business of war,” the letter read.

Continue Reading
Click to comment

Leave a Reply

Artificial Intelligence

U.S. Must Take Lead on Global AI Regulations: State Department Official

Call for leadership comes during pivotal time in AI development.

Published

on

Photo of State Department official Jennifer Bachus in December 2014 by Ardian Nrecaj used with permission

WASHINGTON, May 31, 2023 – A State Department official is calling for a United States-led global coalition to set artificial intelligence regulations.

“This is the exact moment where the US needs to show leadership,” Jennifer Bachus, assistant secretary of state for Cyberspace and Digital Policy, said last week on a panel discussing international principles on responsible AI. “This is a shared problem and we need a shared solution.”

She opposed pitting the U.S. and China against one another in the AI race, saying it would “ultimately always lead to a problem.” Instead, Bachus called for an alliance of the United States, the European Union, and Japan to take the lead in creating a legal framework to govern artificial intelligence.

The introduction of OpenAI’s ChatGPT earlier this year sent tech companies in a rush to create their own generative AI chatbot systems. Competition between tech giants has heated up with the recent release of Google’s Bard and Microsoft’s Bing chatbot. Similar to ChatGPT in terms of its vast language model, these chatbots can also access data from the internet to answer queries or carry out tasks.

Experts are concerned about the dangers posed by this unprecedented technology. On Tuesday, hundreds of tech experts and industry leaders, including OpenAI’s CEO Sam Altman, signed a one-sentence statement calling the existential threats presented by A.I. a “global priority” on par with “pandemics and nuclear conflicts.” Earlier in March, Elon Musk joined several AI experts signing another open letter urging for a pause on “giant AI experiments.”

Despite the pressing concerns about generative AI, there is rising criticism that policymakers are slow to put forth adequate legislation for this nascent technology. Panelists argued this is partly because legislators have difficulty understanding technological innovations. Michelle Giuda, director of Krach Institute for Tech Diplomacy, argued for a more proactive contribution from the academic community and tech firms.

“There is a risk of relying too much on the government to regulate ahead of where innovation is going and providing the clarity that’s needed,” said Giuda. “We all know that the government isn’t going to stay ahead of the innovation curve, but this is an ongoing dialogue between tech companies, governments and civil society.”

Microsoft’s Chief Responsible AI Officer, Natasha Crampton, agreed that developers and experts in the field must play a central role in crafting and implementing legislation pertaining to artificial intelligence. She did, however, mention that businesses using AI technology should also share part of the responsibility.

“It is our job to make sure that safety and responsibility is baked into these systems from the very beginning,” said Crampton. “Making sure that you are really holding developers to very high standards but also deployers of technology in some aspects as well.”

Earlier in May, Sens. Michael Bennet, D-C.O., and Peter Welch, D-VT. introduced a bill to establish a government agency to oversee artificial intelligence. The Joe Biden administration also announced $140 million in funding to establish seven new National AI Research institutions, increasing the total number of institutions in the nation to 25.

Continue Reading

Artificial Intelligence

AI is a Key Component in Effectively Managing the Energy Grid

The ability to balance the grid’s supply and demand in real time will become extremely complex.

Published

on

Photo of Jeremy Renshaw of the Electric Power Research Institute

WASHINGTON, May 30, 2023 – Artificial intelligence will be required to effectively manage and optimize a more complex energy grid, said experts at a United States Energy Association event Tuesday. 

Renewable energy technologies such as solar panels, electric vehicles, and power walls add large amounts of energy storage to the grid, said Jeremy Renshaw, senior technical executive at the Electric Power Research Institute. Utility companies are required to manage many bidirectional resources that both store and use energy, he said. 

Learn more about the smart grid, clean energy and the U.S.-China tech race at Broadband Breakfast’s Made in America Summit on June 27.

“The grid of the future is going to be significantly more complicated,” said Renshaw. Having humans operate the grid will be economically infeasible, he continued, claiming that AI will drastically improve operations. 

The ability to balance the grid’s supply and demand in real time will become extremely complex with the adoption of these new technologies, added Marc Spieler, leader for global business development at AI hardware and software supplier, Nvidia. 

Utility companies will need to redirect traffic in real time to support the incoming demand, he said. AI enables real time redirecting of traffic and an understanding of the capacity of the grid at any point, said Spieler.  

Moreover, AI can identify what changes need to be made to avoid waste by over generating electricity and black outs by under generating, he said. AI also has the capability to predict and plan for extreme weather that can be hazardous to electrical infrastructure and can identify bottleneck areas where infrastructure needs to be updated, said Spieler. 

Human management will still be required to ensure that systems are operated responsibly, said John Savage, professor of computer science at Brown University. Utility companies should avoid allowing AI to make unsupervised decisions especially for unforeseen scenarios, he said. 

The panelists envision AI as a decision support mechanism to help humans make more informed decisions, agreed the panelists. The technology will replace jobs that deal with mundane and repetitive tasks but will ultimately create more jobs in new positions, said Renshaw. 

This comes several weeks after industry experts urged Congress to implement federal AI regulation. 

Continue Reading

Artificial Intelligence

Experts Debate Artificial Intelligence Licensing Legislation

Licensing requirements will distract from wide scale testing and will limit competition, an event heard.

Published

on

Photo of B Cavello of Aspen Institute, Austin Carson of SeedAI, Aalok Mehta of OpenAI

WASHINGTON, May 23, 2023 – Experts on artificial intelligence disagree on whether licensing is the proper legislation for the technology. 

If adopted, licensing requirements would require companies to obtain a federal license prior to developing AI technology. Last week, OpenAI CEO Sam Altman testified that Congress should consider a series of licensing and testing requirements for AI models above a threshold of capability. 

At a Public Knowledge event Monday, Aalok Mehta, head of US Public Policy at OpenAI, added licensing is a means to ensuring that AI developers put together safety practices. By establishing licensing rules, we are developing external validation tools that will improve consumer experience, he said. 

Generative AI — the model used by chatbots including OpenAI’s widely popular ChatGPT and Google’s Bard — is AI designed to produce content rather than simply processing information, which could have widespread effects on copyright disputes and disinformation, experts have said. Many industry experts have urged for more federal AI regulation, claiming that widespread AI applications could lead to broad societal risks including an uptick in online disinformation, technological displacement, algorithmic discrimination, and other harms. 

Some industry leaders, however, are concerned that calls for licensing are a way of shutting the door to competition and new startups by large companies like OpenAI and Google.  

B Cavello, director of emerging technologies at the Aspen Institute, said Monday that licensing requirements place burdens on competition, particularly small start-ups. 

Implementing licensing requirements can place a threshold that defines a set of players allowed to play in the AI space and a set that are not, said B. Licensing can make it more difficult for smaller players to gain traction in the competitive space, B said.  

Already the resources required to support these systems create a barrier that can be really tough to break through, B continued. While there should be mandates for greater testing and transparency, it can also present unique challenges we should seek to avoid, B said.  

Austin Carson, founder and president of SeedAI, said a licensing model would not get to the heart of the issue, which is to make sure AI developers are consciously testing and measuring their own models. 

The most important thing is to support the development of an ecosystem that revolves around assurance and testing, said Carson. Although no mechanisms currently exist for wide-scale testing, it will be critical to the support of this technology, he said. 

Base-level testing at this scale will require that all parties participate, Carson emphasized. We need all parties to feel a sense of accountability for the systems they host, he said. 

Christina Montgomery, AI ethics board chair at IBM, urged Congress to adopt precision regulation approach to AI that would govern AI in specific use cases, not regulating the technology itself in her testimony last week.  

Continue Reading

Signup for Broadband Breakfast News



Broadband Breakfast Research Partner

Trending