Artificial Intelligence
Brookings Panelists Emphasize Importance of Addressing Biases in Artificial Intelligence Technology

June 19, 2020 — “The potential for discrimination increases with each generation of technology,” said Nicol Turner Lee, a fellow at the Center for Technology Innovation, in a Friday webinar hosted by the Brookings Institution about the intersection of race, artificial intelligence and structural inequalities.
AI systems hold an incredible amount of power, as they increasingly play an important role in decisions between who starves and who eats, who has housing and who remains homeless, who receives healthcare and who is sent home, and which neighborhoods are policed, panelists said.
Machine learning algorithms have become routinely utilized in decisions regarding housing, healthcare, employment, policing and the administration of public programs. But AI systems are not free of prejudice and tend to replicate and solidify the discriminatory biases of their creators.
Panelists discussed the matrix of biases that AI applications could potentially perpetuate, as the technology continues to remain largely unregulated.
“When we think about algorithms, they have to come from somewhere,” said Rashawn Ray, a David M. Rubenstein Fellow. “People think that computers are free of biases, but humans created them.”
“It’s critical to ask who is at the table in the design of these models,” said Dariely Rodriguez, director of the Economic Justice Project.
If certain demographics are excluded from the initial algorithmic design process, that will impact the ultimate technology released.
Systemic discrimination has resulted in underrepresentation of Black individuals in supervisory and executive roles, Rodriguez said.
“Only 5 percent of PhDs awarded this year went to Black women and only 3.5 percent went to Black men,” said Fay Cobb Payton, a professor of information technology and business analytics at North Carolina State University.
Panelists agreed that greater representation of diverse voices in the construction process of AI technology will improve the chances of an equitable end design.
“I think what often happens is developers approach creating algorithms in a color blind way, thinking if they don’t think about race, it won’t become an issue,” said Ray. “However, in order to create inclusive technologies, we have to center race in the models we create.”
According to Ray, Black men and women are 33 percent less likely to trust facial recognition than white populations. This mistrust is well-founded; one study found that AI facial recognition technology misidentified over one-third of Black women, compared to 1 percent of white men.
Not only are disparities built into AI technology, but the technology itself is disproportionately weaponized against Black individuals.
Ray highlighted an incident that took place on the University of North Carolina’s campus, when protests over the removal of Confederate statues brought two opposing groups of demonstrators together. The police used geofencing warrants, which allow police to collect GPS information about devices in specific areas, only on the group of protestors calling for the removal of the statue.
“All these technologies are being used on protestors right now,” said Ray. “Law enforcement is utilizing vast sources of AI technology to surveille.”
Looking forward, the panelists suggested certain steps to make AI a more democratic technology.
Payton called for the utilization of “small data” to train algorithms to better understand lived human experiences.
Ray argued that safeguards need to be put in place to ensure that technology is doing what it is programmed to do.
Finally, Rodriguez called for increased transparency and regulation in the development and implementation of such technologies.
“AI can be harnessed for good — we need to create AI that is equitable, fair, and inclusive,” Lee concluded.
Artificial Intelligence
U.S. Must Take Lead on Global AI Regulations: State Department Official
Call for leadership comes during pivotal time in AI development.

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.
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.

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.
“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.
Artificial Intelligence
Experts Debate Artificial Intelligence Licensing Legislation
Licensing requirements will distract from wide scale testing and will limit competition, an event heard.

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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