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New Bill Banning Facial Recognition Technology in Public Housing Aims to Protect Vulnerable Communities

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WASHINGTON, July 24, 2019 — As concern about smart home technology grows, three progressive representatives are planning to introduce a bill this week to ban facial recognition technologies from public housing.

“Surveillance technology is often used to track and control vulnerable communities, particularly communities of color,” wrote Reps. Yvette Clarke, D-NY, Ayanna Pressley, D-Mass., and Rashida Tlaib, D-Mich., in a letter asking for co-sponsors. “The installation of biometric technologies on public housing properties poses an acute risk to those already on the margins.”

The legislation will prohibit the use of facial recognition technology in most public and assisted housing funded by the Department of Housing and Urban Development.

It will also require the department to submit a report to Congress describing any known instance of these technologies already in use in public housing units, the purpose and impact of these technologies, and the demographic information of impacted tenants.

Bipartisan critics have raised concerns over the biases present in facial recognition technologies, which have proven in the past to disproportionately misidentify women and people of color.

“Using this flawed technology as the basis for everything from building access to potential arrest for perceived trespassing thus poses a unique risk to these groups,” the congresswomen wrote. “This unregulated and under-researched technology should be banned in public housing units until additional oversight of its development and deployment is possible.”

Many fear that widespread implementation of such technology also poses a significant threat to privacy. In May, a large group of tenants in New York filed a legal opposition to their landlord’s proposal to install a facial recognition entry system.

“The ability to enter your home should not be conditioned on the surrender of your biometric data, particularly when the landlord’s collection, storage, and use of such data is untested and unregulated,” said attorney Samar Katnani, who represented the tenants.

Proponents of facial recognition technology argue that it offers residents convenience and safety while keeping down costs for landlords. “Rather than lock out low-income Americans from the latest innovations, Congress should welcome the availability of technology that prevents them from getting locked out of their homes,” said Daniel Castro, vice president of the Information Technology and Innovation Foundation, in a statement responding to the bill.

However, the proposed ban has gained significant support from politicians and outside groups on both sides of the aisle.

“Facial recognition surveillance should be banned everywhere, but keeping it out of public housing is an excellent start,” said Evan Greer, deputy director of digital civil rights group Fight for the Future. “If public housing units become a panopticon of automated face scanning and monitoring, it will mean more people in prison, more police abuse, and more families torn apart.”

(Image by Mike MacKenzie used with permission.)

Reporter Em McPhie studied communication design and writing at Washington University in St. Louis, where she was a managing editor for the student newspaper. In addition to agency and freelance marketing experience, she has reported extensively on Section 230, big tech, and rural broadband access. She is a founding board member of Code Open Sesame, an organization that teaches computer programming skills to underprivileged children.

Artificial Intelligence

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

Call for leadership comes during pivotal time in AI development.

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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.

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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.

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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. 

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Artificial Intelligence

Experts Debate Artificial Intelligence Licensing Legislation

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

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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.  

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