April 23, 2024

Google’s Autonomous Vehicles Draw Skepticism at Legal Symposium

SANTA CLARA, Calif. — Even as Google tests its small fleet of self-driving vehicles on California highways, legal scholars and government officials are warning that society has only begun wrestling with the changes that would be required in a system created a century ago to meet the challenge of horseless carriages.

What happens if a police officer wants to pull one of these vehicles over? When it stops at a four-way intersection, would it be too polite to take its turn ahead of aggressive human drivers (or equally polite robots)? What sort of insurance would it need?

These and other implications of what Google calls autonomous vehicles were debated by Silicon Valley technologists, legal scholars and government regulators last week a daylong symposium sponsored by the Law Review and High Tech Law Institute at Santa Clara University.

As Google has demonstrated, computerized systems that replace human drivers are now largely workable and could greatly limit human error, which causes most of the 33,000 deaths and 1.2 million injuries that now occur each year on the nation’s roads.

Such vehicles also hold the potential for greater fuel efficiency and lower emissions — and, more broadly, for restoring the United States’ primacy in the global automobile industry.

But questions of legal liability, privacy and insurance regulation have yet to be addressed, and an array of speakers suggested that such challenges might pose far more problems than the technological ones.

Today major automobile makers have already deployed advanced sensor-based safety systems that both assist and in some cases correct driver actions. But Google’s project goes much further, transforming human drivers into passengers and coexisting with conventional vehicles driven by people.

Last September, Sebastian Thrun, director of Google’s autonomous vehicle research program, wrote that the project had achieved 200,000 miles of driving without an accident while cars were under computer control.

Over the last two years, Google and automobile makers have been lobbying for legislative changes to permit autonomous vehicles on the nation’s roads.

Nevada became the first state to legalize driverless vehicles last year, and similar laws have now been introduced before legislatures in Florida and Hawaii. Several participants at the Santa Clara event said a similar bill would soon be introduced in California.

Yet simple questions, like whether the police should have the right to pull over autonomous vehicles, have yet to be answered, said Frank Douma, a research fellow at the Center for Transportation Studies at the University of Minnesota.

“It’s a 21st-century Fourth Amendment seizure issue,” he said.

The federal government does not have enough information to determine how to regulate driverless technologies, said O. Kevin Vincent, chief counsel of the National Highway Traffic Safety Administration. But he added:

“We think it’s a scary concept for the public. If you have two tons of steel going down the highway at 60 miles an hour a few feet away from two tons of steel going in the exact opposite direction at 60 miles an hour, the public is fully aware of what happens when those two hunks of metal collide and they’re inside one of those hunks of metal. They ought to be petrified of that concept.”

And despite Google’s early success, technological barriers remain. Some the most trivial tasks for human drivers — like recognizing an officer or safety worker motioning a driver to proceed in an alternate direction — await a breakthrough in artificial intelligence that may not come soon.

Moreover, even after intelligent cars match human capabilities, significant issues would remain, suggested Sven A. Beiker, executive director of the Center for Automotive Research at Stanford University. Today, human drivers frequently bend the rules by rolling through stop signs and driving above speed limits, he noted; how would a polite and law-abiding robot vehicle fare against such competition?

“Everybody might be bending the rules a little bit,” he said. “This is what the researchers are telling me — because the car is so polite it might be sitting at a four-way intersection forever, because no one else is coming to a stop.”

Because of the array of challenges, Dr. Beiker said he was wary about predicting when autonomous vehicles might arrive.

“Twenty years from now we might have completely autonomous vehicles,” he said, “maybe on limited roads.”

Questions of legal liability and insurance are also unknown territory.

There will be huge potential liabilities for the designers and manufacturers of autonomous vehicles, said Gary E. Marchant, director of the Center for Law, Science and Innovation at the Arizona State University law school.

“Why would you even put money into developing it?” he asked. “I see this as a huge barrier to this technology unless there are some policy ways around it” — though he noted that there were precedents for Congress’s adopting such policies.

For example, liability exemptions have been mandated for vaccines, which are believed to offer great value for the general health of the population, despite some risks.

There will also be unpredictable technological risks, several participants said. For example, future autonomous vehicles will rely heavily on global positioning satellite data and other systems, which are vulnerable to jamming by malicious computer hackers.

Although they did not participate in any of the panel discussions, several Google engineers and employees attended the event. The company has declined to discuss what it might be planning to do with its autonomous vehicle research, and several participants said privately that they did not believe the company planned to become a provider of autonomous navigation systems to the automobile industry.

Indeed, several people familiar with the company’s plans said the fact that Google was lobbying for state laws to permit autonomous driving indicated that it hoped to introduce such vehicles soon — perhaps driverless delivery vans or taxis, as early as 2013 or 2014.

Several participants suggested that in addition to technological and legal challenges, autonomous driving could use a more consumer-friendly name. Indeed, some called the definition itself into question.

“It won’t truly be an autonomous vehicle,” said Brad Templeton, a software designer and a consultant for the Google project, “until you instruct it to drive to work and it heads to the beach instead.”

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Interactive: Imagining 2076: Connect Your Brain to the Internet

Far enough in the distance to dream, yet seemingly within arm’s reach, that year was attached to more predictions of technological innovations from readers than any other in the interactive, crowd-sourced timeline published online with “The Future of Computing,” last week’s special issue of Science Times.

Holographic displays. Robotic restaurants. Computers that replace doctors, translators and drivers. If it’s proximate science fiction you want, you’ll have it, it seems, at the end of the decade.

Looking at 2020 and beyond, readers imagined a future with cures for intractable diseases, direct links between brain and computer, automated everything, contact with alien life forms, sentient machines and no language barriers.

Readers were invited to make predictions and collaboratively edit this timeline, which was divided into three sections: a sampling of past advances in computing, predictions that readers could push forward or pull backward in time with the click of a button (but not, of course, into the past), and a form for making and voting on predictions. Tens of thousands of edits were made.

Starting with predictions from experts like Sebastian Thrun, Georges Nahon, Larry Smarr, Drew Endy and David Patterson, the timeline grew in scope and creativity with the addition of selected reader suggestions as word of the project spread socially via sites like Twitter.

Optimistic predictions far outpaced negative ones — a wishful view, perhaps, of technology as panacea. The most popular reader-submitted prediction came from Roy in Italy, who wrote that by 2020, “Google will provide everyone with the ability to communicate with everyone else, regardless of the specific language they speak, via their smartphone, with real-time language translation.”

Pushing and pulling dates on the timeline, readers said it would take 65 years to connect our brains to the Internet via Wi-Fi, as D. Moysey of Boston predicted, “granting nearly unlimited memory and communication ability, provided you don’t lose the signal.”

Not all predictions were rosy. In David Gibson’s dystopian view, “humans will become so integrated with electronics that more people will die from computer viruses in a year than from biological viruses.” Readers suggested this would happen about 2170.

Many of the negative forecasts were bullish on technological growth, just skeptical about our ability to control it. In 2021, Steve Williams wrote from Calgary, Alberta, “computers will become so ubiquitous that they will be relegated to appliance status like toasters, as people strive to put the misnamed ‘social media’ aside in favor of face-to-face human connections.”

Some predictions, good or bad, were open to interpretation. Within 10 years, wrote Ian Breckheimer, “more people will enter into romantic relationships with people they met online than people they met in person.”

Predictions about the far future — 2100 and beyond — took a broader view of changes that might affect all of humanity. Will we speak telepathically? Maybe by 2484, readers said. Will we be governed by an all-knowing artificial intelligence? In 2267, perhaps. Live forever? That could happen as soon as 2100, according to Jay Snipes of Pickerington, Ohio, who predicted, “Medical and computer sciences will learn to map the human brain, preserving the memories, knowledge, and wisdom of selected individuals before they die.”

When, if ever, will these flights of fantasy become fact? Perhaps the most accurate prediction of all belongs to R. Campos of Brazil, who wrote that in the year 2025, “we’ll be laughing at these predictions.”

More predictions follow.

2012: COMPUTER ON A CHIP “The high-end microprocessor of 2020 will be an entire computer on a single chip: processor and main memory versus the many processor chips and DRAM chips of today.”

David Patterson, a professor of computer science at the University of California, Berkeley. Readers moved this date 906 times.

2013: ELECTRONIC INK “Electronic ink becomes as flexible and thin as paper. A new print revolution starts.”

Ziad Youssfi of East Lansing, Mich. Readers moved this date 800 times.

2019: ONLINE SCIENCE “Scientific publishing will move away from the current journal-and-conference model to a model that takes better advantage of online tools.”

Scott Aaronson, associate professor of electrical engineering and computer science at M.I.T. He predicted 2026. Readers moved this date 836 times.

2019: UNIVERSAL MEDICAL DATABASE “Your entire medical history from birth till death will be collectively combined in one universal system and available to all your different doctors.”

Chelsea of New York. Readers moved this date 443 times.

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