Claims about what robots and artificial intelligence can do often have been exaggerated. But as scientists make rapid advances in some areas of AI, the discussion has shifted to more tangible issues, including impact on jobs, transportation and even warfare.

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SAN FRANCISCO — For years, science-fiction moviemakers have been making us fear the bad things that artificially intelligent machines might do to their human creators.

But for the next decade or two, our biggest concern is more likely to be that robots will take away our jobs or bump into us on the highway.

Now five of the world’s largest tech companies are trying to create a standard of ethics around the creation of artificial intelligence.

While science fiction has focused on the existential threat of AI to humans, researchers at Google’s parent company, Alphabet, and those from, Facebook, IBM and Microsoft have been meeting to discuss more tangible issues, such as the impact of AI on jobs, transportation and even warfare.

Tech companies have long overpromised what artificially intelligent machines can do. In recent years, however, the AI field has made rapid advances in areas, from self-driving cars and machines that understand speech, like Amazon’s Echo device, to a new generation of weapons systems that threaten to automate combat.

The specifics of what the industry group will do or say — even its name — have yet to be hashed out. But the basic intention is clear: to ensure that AI research is focused on benefiting people, not hurting them, according to four people involved in the creation of the industry partnership who are not authorized to speak about it publicly.

The importance of the industry effort is underscored in a report issued Thursday by a Stanford University group funded by Eric Horvitz, a Microsoft researcher who is one of the executives in the industry discussions. The Stanford project, called the One Hundred Year Study on Artificial Intelligence, lays out a plan to produce a detailed report on the impact of AI on society every five years for the next century.

One concern for people in the tech industry would be if regulators jumped in to create rules around their AI work. So they are trying to create a framework for a self-policing organization, though it is not clear yet how that will function.

“We’re not saying that there should be no regulation,” said Peter Stone, a computer scientist at the University of Texas at Austin and one of the authors of the Stanford report. “We’re saying that there is a right way and a wrong way.”

Cooperating rivals

While the tech industry is known for being competitive, there have been instances when companies have worked together when it was in their best interests. In the 1990s, for example, tech companies agreed on a standard method for encrypting e-commerce transactions, laying the groundwork for two decades of growth in internet business.

The authors of the Stanford report, which is titled “Artificial Intelligence and Life in 2030,” argue that it will be impossible to regulate AI. “The study panel’s consensus is that attempts to regulate AI in general would be misguided, since there is no clear definition of AI (it isn’t any one thing), and the risks and considerations are very different in different domains,” the report says.

One recommendation in the report is to raise the awareness of and expertise about artificial intelligence at all levels of government, Stone said. It also calls for increased public and private spending on AI.

“There is a role for government, and we respect that,” said David Kenny, general manager for IBM’s Watson artificial intelligence division. The challenge, he said, is “a lot of times policies lag the technologies.”

A memorandum is being circulated among the five companies with a tentative plan to announce the new organization in the middle of September. One of the unresolved issues is that Google DeepMind, an Alphabet subsidiary, has asked to participate separately, according to a person involved in the negotiations.

The AI industry group is modeled on a similar human-rights effort known as the Global Network Initiative, in which corporations and nongovernmental organizations are focused on freedom of expression and privacy rights, according to someone briefed by the industry organizers but not authorized to speak about it publicly.

Separately, Reid Hoffman, a founder of LinkedIn who has a background in artificial intelligence, is in talks with the Massachusetts Institute of Technology Media Lab to fund a project exploring the social and economic effects of artificial intelligence.

Both the MIT effort and the industry partnership are trying to link technology advances more closely to social and economic policy issues. The MIT group has been discussing the idea of designing new AI and robotic systems with “society in the loop.”

The phrase is a reference to the long-running debate about designing computer and robotic systems that still require interaction with humans. For example, the Pentagon has recently begun articulating a military strategy that calls for using AI in which humans continue to control killing decisions, rather than delegating that responsibility to machines.

“The key thing that I would point out is, computer scientists have not been good at interacting with the social scientists and the philosophers,” said Joichi Ito, director of the MIT Media Lab and member of the board of The New York Times. “What we want to do is support and reinforce the social scientists who are doing research which will play a role in setting policies.”

Defined issue

The Stanford report attempts to define the issues that citizens of a typical North American city will face in computers and robotic systems that mimic human capabilities. The authors explore eight aspects of modern life, including health care, education, entertainment and employment, but specifically do not look at the issue of warfare. They said that military AI applications were outside their current scope and expertise, but they did not rule out focusing on weapons in the future.

The report also does not consider the belief of some computer specialists about the possibility of a “singularity” that might lead to machines that are more intelligent and possibly threaten humans.

“It was a conscious decision not to give credence to this in the report,” Stone said.