White House Chronicle

News Analysis With a Sense of Humor

Productivity To Surge with AI. Do the Politicians Know?

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There is every chance that the world’s industrial economies may be about to enjoy an incredible surge in productivity, something like the arrival of steam power in the 18th century.

The driver of this will be artificial intelligence. Gradually, it will seep into every aspect of our working and living, pushing up the amount produced by individual workers and leading to general economic growth.

The downside is that jobs will be eliminated, probably mostly, and historically for the first time, white-collar jobs. Put simply, office workers are going to find themselves seeking other work, maybe work that is much more physical, in everything from hospitality to healthcare to the trades.

I have canvassed many super-thinkers on AI, and they believe in unison that its impact will be seminal, game-changing, never to be switched back. Most are excited and see a better, healthier, more prosperous future, justifying the upheaval.

Omar Hatamleh, chief AI officer at the National Aeronautics and Space Administration, and author of two books on AI and a third in preparation, misses no opportunity to emphasize that thinking about AI needs to be exponential not linear. Sadly, linear thinking is what we human beings tend to do. To my mind, Hatamleh is in the vanguard of AI thinkers,

The United States is likely to be the major beneficiary of the early waves of AI adoption and its productivity surge if we don’t try to impede the technology’s evolution with premature regulation or controls.

Economies which are sclerotic, as is much of Europe, can look to AI to get them back into growth, especially the former big drivers of growth in Europe like Germany, France and Britain, all of which are scratching their heads as to how to boost their productivity, and, hence, their prosperity.

The danger in Europe is that they will try to regulate AI prematurely and that their trades unions will resist reform of their job markets. That would leave China and the United States to duke it out for dominance of AI technology and to benefit from its boost to efficiency and productivity, and, for example, to medical research, leading to breakthroughs in longevity.

Some of the early fear of Frankenstein science has abated as early AI is being seamlessly introduced in everything from weather forecasting to wildfire control and customer relations. 

Salesforce, a leading software company that has traditionally focused on customer relations management, explains its role as connecting the dots by “layering in” AI. A visit to its website is enlightening. Salesforce has available or is developing “agents,” which are systems that operate on behalf of its customers.

If you want to know how your industry is likely to be affected, take a look at how much data it generates. If it generates scads of data — weather forecasting, electric utilities, healthcare, retailing and airlines — AI is either already making inroads or brace for its arrival. 

PFor society, the big challenge of AI isn’t going to be just the reshuffling of the workforce, but what is truth? This is not a casual question, and it should be at the forefront of wondering how to develop ways of identifying the origin of AI-generated information — data, pictures and sounds.

One way is watermarking, and it deserves all the support it can get from those who are leading the AI revolution –the big tech giants and the small startups that feed into their technology. It begs for study in the government’s many centers of research, including the Defense Advanced Research Projects Agency and the great national laboratories.

Extraordinarily, as the election bears down on us, there is almost no recognition in the political parties, and the political class as a whole, that we are on the threshold of a revolution. AI is a disruptive technology that holds promise for fabulous medicine, great science and huge productivity gains.

A new epoch is at hand, and it has nothing to do with the political issues of the day.

Please Note: I will be hosting a virtual press briefing, which I have organized for the United States Energy Association, on the impact of AI in the electric utility industry on Wednesday, Oct. 2, at 11 a.m. EDT. It is open to the press and the public.

Here is the registration link: 

https://us02web.zoom.us/webinar/register/WN_BbE_VO1bRo2PuiVl6g8IzQ#/registration

Postcard from A Coruña: A Summit in a Spanish City in Ascendency

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I am one of those who believes what Seneca, the ancient Roman writer and statesman, said, “Travel and change of place impart new vigor to the mind.”

I don’t know if the stoic Seneca said that before or after his exile to the island of Corsica by the emperor Claudius.

Anyway, earlier this summer, my husband and I had the opportunity to visit a city in the country where Seneca was born: Spain. Both the city and the purpose of our trip imparted a new vigor to our minds.

We were invited to participate in the Ecosystems 2030 (ES2030) summit, held in A Coruña, a port city on a promontory in the Galicia region of northwest Spain, from June 26-29. The summit is the creation of a man with a vigorous mind: Omar Hatamleh, the head of AI at the National Aeronautics and Space Administration and the executive chairman of ES2030.

The annual summits in Spain — where Hatamleh lived and studied — gather speakers and participants from a wide swathe of professions, connecting the unconnected and spurring ideas. His stated aim for summiteers is for them to ditch linear thinking and “to successfully embrace disruption, transform your organization, and thrive over the next decade.” Hatamleh has used the same formula — cross-industry innovation — for meetings he has organized at NASA.

The agenda for this year’s summit, the fourth of 10, was “Women in Leadership.” And the women who addressed the summit were wonder women from private and public entities including Pilar Manchon, Google; Aylin Uysal, Oracle; Rika Nakazawa, NTT; JoAnn Stonier, Mastercard; Maria Fernandez, Sony Music Entertainment; Deepti Pahwa, an innovation and leadership coach to C-suites and entrepreneurs; Nancy Namrouqa, Jordanian minister of state for legal affairs; and Jennifer Stumm, a concert violist and founder and director of Illumina, a Sao Paulo-based music collective, festival and social group “working for greater equity and goodwill in classical music by young musicians around the world without access to private instruction or mentorship.”

In formal addresses and in conversations at lunches, dinners and in hotel lounges, these women shared their thoughts about new ventures and innovation in the AI age, the future of AI governance, e-commerce, privacy and social media, and even board member leadership. Their talk was of how they are shaping new frontiers not how they shattered barriers in the private and public sectors —refreshing and inspiring.

The summit was a movable feast, convening mostly at the avant-garde Palexco Conference Center, which is located at the city’s port and has a roof that resembles the wings of a giant seabird, the mayor’s office in the neoclassical-style City Hall, built in the early 20th century, and the two-Michelin-starred Pepe Vieira Restaurante & Hotel.

The restaurant and hotel, part of the Relais & Chateaux group, is located “in the upper area of Raxo, the smallest municipality of the municipality of Poio, in Pontevedra,” according to directions on its website.

It was an experience getting to the restaurant, which is about an hour-and-a-half drive from A Coruña through a sea of Galician vineyards and villages where the backyard of every house had wine grape vines. No grape escape.

The website says, “For a better experience in finding ‘the last kitchen in the world,’ follow our instructions, since Google has already gotten lost several times along the way.” That is truth in advising.

Pepe Vieira is located on a terraced hill overlooking the Pontevedra estuary. It is surrounded by woods, au naturel landscaping and “biodynamic” vegetable gardens, enjoyed on the patio or inside the dining room which has huge, picture windows.

Chef Vieira prepares dishes, combining “ancestral local produce, rediscovered through research with historians, scientists and anthropologists” with ingredients from afar. He prepared a variety of small dishes for us, including hake with Albariño lees, tapioca pearls and sorrel oil. His decision to locate the restaurant far from city pollution and his combination of gastronomy and sustainable gardening earned him a Michelin Green Star.

A Coruña is far from the anti-tourism protests in Madrid and Barcelona. While it is one of the chief ports of northern Spain, the country’s second-largest fishing center and has a shipyard for building fishing vessels, it also has a significant real-estate market for vacation homes — and welcomes tourists.

Cruise ships stop there and disgorge passengers who visit the Old Town and the New Town; the city’s churches, from medieval to modern; and notable landmarks, including the Roman Tower of Hercules, an imposing, square-shaped lighthouse dating from the reign of Trajan (98-117 AD). A characteristic feature of the houses is their window balconies, glazed for the Atlantic gales, giving A Coruña the name “Crystal City.”

Spaniards from the south come to this Galician city in the summer for the cool wind and the surf. As with many cities on Spain’s Atlantic coast, A Coruña is a surfer spot — with a bronze statue of two surfer dudes riding the waves in a fountain on a seafront avenue.

Photo Credit: Linda Gasparello

A Coruña has been discovered by the foodies, who have long flocked to San Sebastián, also on the Atlantic coast, close to the border with France. On the last night of Ecosystems 2030, the summiteers dined on some of the tastiest octopus in the city at Pulperia de Melide. The Galician dish of octopus sprinkled with paprika is a favorite of mine.

Seneca insisted on eating moderately, not indulging in luxuries or delicacies. He wrote,“Our aim is to live in accordance with nature, is it not?”

I don’t know if Seneca traveled to A Coruña, called Brigantium under the Romans. But I can imagine him being a happy stoic there.

The Wild, Fabulous Medical Frontier with Predictive AI

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When is a workplace at its happiest? I would submit that it is during the early stages of a project that is succeeding, whether it is a restaurant, an internet startup or a laboratory making phenomenal progress in its field of inquiry.

There is a sustained ebullience in a lab when the researchers know they are pushing back the frontiers of science, opening vistas of human possibility and reaping the extraordinary rewards that accompany just learning something big.

There has been a special euphoria in science ever since Archimedes jumped out of his bath in ancient Greece, supposedly shouting, “Eureka!”

I sensed this excitement when interviewing two exceptional scientists, Marina Sirota and Alice Tang, at the University of California San Francisco (UCSF) for the independent PBS television program “White House Chronicle.”

Sirota and Tang have published a seminal paper on the early detection of Alzheimer’s disease — as much as 10 years before onset — with machine learning and artificial intelligence. The researchers were hugely excited by their findings and what their line of research will do for the early detection and avoidance of complex diseases like Alzheimer’s and many more.

It excited me — as someone who has been worried about the effect of AI on everything, from the integrity of elections to the loss of jobs — because the research at UCSF offers a clear example of the strides in medicine unfolding through computational science. “This time it’s different,” said Omar Hatamleh, who heads up AI for NASA at the Goddard Space Flight Center in Greenbelt, Md.

Human expectations are being revolutionized in laboratories like the one in San Francisco.

Sirota said, “At my lab … the idea is to use both molecular data and clinical data (which is what you generate when you visit your doctor) and apply machine learning and artificial intelligence.”

Tang, who just finished her Ph.D. and is studying to be a medical doctor, explained, “It is the combination of diseases that allows our model to predict onset.”

In their study, Sirota and Tang found that osteoporosis is predictive of Alzheimer’s in women, highlighting the interplay between bone health and dementia risk.

The researchers used this approach to find predictive patterns from 5 million clinical patient records held by UCSF in its database. From these, there emerged a relationship between osteoporosis and Alzheimer’s, especially in women. This is important as two-thirds of Alzheimer’s sufferers are women.

The researchers cautioned that it isn’t axiomatic that osteoporosis leads to Alzheimer’s, but it is true in about 70 percent of cases. Also, they said they are critically aware of historical bias in available data — for example, that most of it is from White people in a particular socioeconomic class.

Sirota and Tang said there are contributory factors they found in Alzheimer’s. These include hypertension, vitamin D deficiency and heightened cholesterol. In men, erectile dysfunction and enlarged prostate are also predictive. These findings were published in “Nature Aging” early this year.

Predictive analysis has potential applications for many diseases. It will be possible to detect them well before onset and, therefore, to develop therapies.

This predictive analysis has been used to anticipate homelessness so that intervention — like rent assistance — can be applied before a family is thrown out on the street. Institutional charity is usually slow and often identifies at-risk people after a catastrophe.

AI is beginning to influence many aspects of our lives, from telephoning a banker to utilities’ efforts to spot and control at-risk vegetation before a spark ignites a wildfire.

While the challenges of AI, from its wrongful use by authoritarian rulers and its menace in war and social control, are real, the uses just in medicine are awesome.

In medicine, it is the beginning of a new time in human health, as the frontiers of disease are understood and pushed back as never before. Eureka! Eureka! Eureka!

The AI Revolution Will Rival the Industrial One, and It Has Begun

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A new age in the human experience on Earth is underway. It is an age of change as profound — and possibly more so — than the Industrial Revolution, when the steam engine introduced the concept of post-animal labor, known as shaft horsepower.

Artificial intelligence in this new age is infiltrating all areas of human endeavor.

Some things will change totally, like work: It will end much menial work and a whole tranche of white-collar jobs. Some things it will enhance beyond imagination, like medicine and associated longevity.

Some AI will threaten, some it will annihilate.

It will test our understanding of the truth in a post-fact world. The veracity of every claim will be subject to investigation, from what happened in history to current election results.

At the center of the upheaval in AI is electricity. It is the one essential element — the obedient ingredient — for AI.  Electricity is essential for the computers that support AI. However, AI is putting an incalculable strain on the electric supply.

At its annual meeting, the U.S. Energy Association learned that a search on Google today uses a tenth of the electricity as the same search on ChatGPT. Across the world, data centers are demanding an increasing supply of uninterruptible electricity 24/7. Utilities love this new business but fear they won’t be able to service it going forward.

Fortunately, AI is a valuable tool for utilities, and they are beginning to employ it increasingly in their operations, from customer services to harnessing distributed resources in what are called virtual power plants, to things such as weather prediction, counting dead trees for fire suppression, and mapping future demand.

Electricity is on the verge of a new age. And new technologies, in tandem with the relentless growth in AI, are set to overhaul our expectations for electricity generation and increase demand for it.

Fusion power, small modular reactors, viable flexible storage in the form of new battery technology and upgraded old battery technology, better transmission lines, and doubling the amount of power that can be moved from where it is made to where it is desperately needed are all on the horizon, and will penetrate the market in the next 10 years.

Synchronizing new demand with new supply has yet to happen, but electricity provision is on the march as inexorably as is AI. Together, they hold the keys to a new human future.

A new book by Omar Hatamleh, a gifted visionary, titled “This Time It’s Different,” lifts the curtain on AI. Hatamleh, chief AI officer for NASA’s Goddard Space Flight Center in Greenbelt, Md., says, “This time, it truly is different. … Witness AI’s awakening, revealing its potential for both awe-inspiring transformation and trepidation.”

Hatamleh organized NASA’s first symposium on AI on June 11 at Goddard. Crème de la crème in AI participants came from OpenAI, Google, Microsoft, Nvidia, Qantm AI, Boeing and JP Morgan.

The consensus view was, to my mind, optimistically expressed by Pilar Manchon, Google’s senior director of AI, who said she thought this was the beginning of humankind’s greatest adventure. The very beginning of a new age.

A bit of backstage criticism was that the commercial pressure for the tech giants to get to market with their generative AI products has been so great that they have been releasing them before all the bugs have been ironed out — hence some of the recent ludicrous search results, like the one from this question, “How do you keep the cheese on pizza?” The answer, apparently, was with “glue.”

However, everyone agreed that these and other hallucinations won’t affect the conquering march of AI.

Government regulation? How do you regulate something that is metamorphosing second by second?

A word about Hatamleh: I first met him when he was chief engineering innovation officer at NASA in Houston. He was already thinking about AI in his pursuit of off-label drugs to treat diseases and his desire to cross-reference data to find drugs and therapies that worked in one situation but hadn’t been tried in another, especially cancer. This is now job No. 1 for AI.

During COVID, he wrangled 73 global scientists to produce a seminal report in May 2020, “Never Normal,” which predicted with eerie accuracy how COVID would affect how we work, play and socialize, and how life would change. And it has. A mere foretaste of AI?