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Artificial Intelligence

Complexity, Lack of Expertise Could Hamper Economic Benefits Of Artificial Intelligence

Artificial intelligence is said to open up a new age of economic development, but its complexity could hamper its rollout.

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Keith Strier of NVIDIA

May 24, 2021 — One of the great challenges to adopting artificial intelligence is the lack of understanding of it, according to a panel hosted by the Atlantic Council’s new GeoTech Center.

The panel last week discussed the economic benefits of AI and how global policy leaders can leverage it to achieve sustainable economic growth with government buy-in. But getting the government excited and getting them to actually do something about it are two completely different tasks.

That’s because there exists little government understanding or planning around this emerging market, according to Keith Strier, vice-president of worldwide AI initiatives at NVIDIA, a tech company that designs graphics processing units.

If the trend continues, the consequences could be globally impactful, leading to a widening of the global economic divide and could even pose national security threats, he said.

“AI is the new critical infrastructure… It’s about the future of GDP,” said Strier.

Lack of understanding stems from complexity 

The reason for a lack of government understanding stems from the complexity of AI research, and the lack of consensus among experts, Strier said. He noted that the metrics used to quantify AI performance are “deceptively complex” and technical. Experts struggle to even find consensus on defining AI, only adding to its already intrinsic complexity.

This divergence in expert opinion makes the research markedly difficult to break down and communicate to policy makers in digestible, useful ways.

“Policy is just not evidence based,” Strier said. “It’s not well informed.”

World economic divide could widen 

Charles Jennings, AI entrepreneur and founder of internet technology company NeuralEye, warned of AI’s potential to widen the economic divide worldwide.

Currently, the 500 fastest computers in the world are split up between just 29 different countries, leaving the remaining 170 struggling to produce computing power. As computers become faster, the countries best suited to reap the economic benefits will do so at a rate that far outpaces less developed countries.

Jennings also believes that there exists security issues associated with the lack of AI understanding in government, claiming that the public’s increasing dependence on it matched with a lack of regulation could lead to a public safety threat. He is adamant that it’s time to bridge the gap between enterprise and policy.

Strier says there are three essential questions governments must answer: How much domestic AI compute capacity do we have? How does this compare to other nations? Do we have enough capacity to support our national AI ambitions?

Answering these questions would help governments address the AI question in terms of their own national values and interests. This would help create a framework that could mitigate the potential negative consequences which might otherwise affect us.

Reporter Tyler Perkins studied rhetoric and English literature, and also economics and mathematics, at the University of Utah. Although he grew up in and never left the West (both Oregon and Utah) until recently, he intends to study law and build a career on the East Coast. In his free time, he enjoys reading excellent literature and playing poor golf.

Artificial Intelligence

CES 2022: Artificial Intelligence Needs to Resonate with People for Widespread Acceptance

Even though stakeholders may want technologies that yield better results, they may be uncomfortable with artificial intelligence.

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Pat Baird speaking at CES 2022

LAS VEGAS, January 6, 2022 – To get artificial intelligence into the mainstream, the industry needs to appease not just regulators, but stakeholders as well.

Pat Baird, regulatory head for software standards at electronics maker Philips, said at the Consumer Electronics Show Thursday that for AI technology to be successfully implemented in a field like medicine, everyone touched by it needs to be comfortable with it.

“A lot of people want to know more information, more information, more information before you dare use that [technology] on me one of the members of my family,” Baird said, “I totally get that, but it is interesting – some of the myths that we see in Hollywood compared to how the technology [actually functions],” adding to be successful you have to win the approval of all stakeholders, not just regulators.

“It is a fine line to take and walk,” Baird said. “I think we need to make sure that the lawmakers really understand the benefits and the risks about this – not all AI is the same. Not all applications are the same.”

Like accidents involving autonomous vehicles, rare accidents for AI can set the technology back years, Baird said. “One of the things that I worry about is when something bad happens that’s kind of reflected on the entire industry.”

Baird noted that many people come prepared with preconceived biases against AI that make them susceptible to skepticism or hesitancy that a technology is safe or will work.

But he did not go so far as to say these biases against AI are putting a “thumb on the scale” against AI, “but [that thumb] is floating near the scale right now.”

“That is one of the things that I’m worried about,” he said. “Because this technology can make a difference. I want to help my patients, damn it, and if this can only improve performance by a couple percent, that is important to that family that you just helped with that [technology].”

Joseph Murphy, vice president of marketing at AI company Sensory Inc., said, “Just like everything in life it’s a tricky balance of innovation, and then putting up the speed bumps to innovation. It’s a process that has to happen.”

On Wednesday, Sally Lange Witkowski, founder of business consulting firm Slang Consulting, said that companies should be educating consumers about the benefits of 5G for widespread adoption.

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Artificial Intelligence

Henry Kissinger: AI Will Prompt Consideration of What it Means to Be Human

Event with the former Secretary of State discusses our current lack of knowledge on how to responsibly harness AI’s power.

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Former Secretary of State Henry Kissinger

WASHINGTON, December 24, 2021 – Former Secretary of State Henry Kissinger says that further use of artificial intelligence will call into question what it means to be human, and that the technology cannot solve all those problems humans fail to address on their own.

Kissinger spoke at a Council on Foreign Relations event highlighting his new book “The Age of AI: And Our Human Future” on Monday along with co-author and former Google CEO Eric Schmidt in a conversation moderated by PBS NewsHour anchor Judy Woodruff.

Schmidt remarked throughout the event on unanswered questions about AI despite common use of the technology.

He emphasized that the computer systems may be able to solve complex problems, such as in physics dealing with dark matter or dark energy, but that the humans who built the technology may not be able to determine how exactly the computer solved the problems.

Along the lines of this potential for dangerous use of the technology, he stated how AI development, though sometimes a force for good, “plays” with human lives.

He pointed out that to deal with this great technological power, almost every country now has created a governmental to oversee the ethics of AI development.

Schmidt stated that western values must be the dominant values in AI platforms that influence everyday life such as ones that have key implications for democracy.

With all the consideration on how to make AI work so it is effective but also utilitarian, Kissinger noted how much human thinking must go into managing the “thinking” these machines do, and that “a mere technological edge is not in itself decisive” in terms of AI that can compete with adversaries such as China’s diplomatic technological might.

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Artificial Intelligence

Vaccine Makers Promote Use of Artificial Intelligence for Development

Artificial Intelligence assists in the development of vaccine research and trial testing, makers say.

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Najat Khan, Janssen’s research and development global head of strategy

WASHINGTON, December 15, 2021 – Artificial intelligence is helping accelerate the development of COVID-19 vaccines.

Leaders in Janssen’s and Moderna’s research and development groups said Tuesday that AI will help drug makers create better, more effective vaccines for patients.

Speaking at Bloomberg’s Technology Summit on Tuesday, Najat Khan, Janssen’s research and development global head of strategy, said AI is speeding up the delivery of new vaccines for populations in need. (Janssen is a subsidiary of Johnson & Johnson.)

“We use AI and machine learning to predict performance of clinical sites for potential [vaccine] trial sites,” Khan said. AI can help researchers target patients for trials to obtain more comprehensive data sets. Vaccine developers spend time, money, and resources finding patients to participate in clinical trials.

Khan said “only four percent” of eligible patients join a clinical trial. AI can help researchers focus their efforts to identify patients to participate, she said.

Outstanding concerns with AI

Despite AI’s usefulness in vaccine development, Khan said there is still a gap that exists between the information available in healthcare and what’s useful for AI. “There’s lots of data generated in health care, but it’s not connected,” Khan stated. “If it’s not connected, it’s fragmented.”

The problem, Khan said, is the varying systems health clinics use to input and store patients’ information. “Different systems across different clinics needs the same data,” Khan added. “I can go to two different clinics, each one year apart, and my data would be separate.”

On a large scale, mismatched datasets lead to “an over-index of patient information in some areas and an under-index in others,” she said.

For better innovation in treating and curing diseases, health providers need better ways to gather share data while complying with patient privacy concerns, Khan added.

One of health care providers’ challenges is effective data minimization and ensuring that health entities only use patient data according to the patient’s consent over the use of their data. The industry is starting to see progress with tokenization, Khan said, which anonymizes data and links with other data sources for a specific patient-focused purpose.

“This allows us to do even more with AI,” Khan said.

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