Since ChatGPT’s release in late 2022, many news outlets have reported on the ethical threats posed by artificial intelligence. Tech pundits have issued warnings of killer robots bent on human extinction, while the World Economic Forum predicted that machines will take away jobs.

The tech sector is slashing its workforce even as it invests in AI-enhanced productivity tools. Writers and actors in Hollywood are on strike to protect their jobs and their likenesses. And scholars continue to show how these systems heighten existing biases or create meaningless jobs – amid myriad other problems.

There is a better way to bring artificial intelligence into workplaces. I know, because I’ve seen it, as a sociologist who works with NASA’s robotic spacecraft teams.

The scientists and engineers I study are busy exploring the surface of Mars with the help of AI-equipped rovers. But their job is no science fiction fantasy. It’s an example of the power of weaving machine and human intelligence together, in service of a common goal.

Instead of replacing humans, these robots partner with us to extend and complement human qualities. Along the way, they avoid common ethical pitfalls and chart a humane path for working with AI.

The replacement myth in AI

Stories of killer robots and job losses illustrate how a “replacement myth” dominates the way people think about AI. In this view, humans can and will be replaced by automated machines.

Amid the existential threat is the promise of business boons like greater efficiency, improved profit margins and more leisure time.

Empirical evidence shows that automation does not cut costs. Instead, it increases inequality by cutting out low-status workers and increasing the salary cost for high-status workers who remain. Meanwhile, today’s productivity tools inspire employees to work more for their employers, not less.

Alternatives to straight-out replacement are “mixed autonomy” systems, where people and robots work together. For example, self-driving cars must be programmed to operate in traffic alongside human drivers. Autonomy is “mixed” because both humans and robots operate in the same system, and their actions influence each other.

However, mixed autonomy is often seen as a step along the way to replacement. And it can lead to systems where humans merely feed, curate or teach AI tools. This saddles humans with “ghost work” – mindless, piecemeal tasks that programmers hope machine learning will soon render obsolete.

Replacement raises red flags for AI ethics. Work like tagging content to train AI or scrubbing Facebook posts typically features traumatic tasks and a poorly paid workforce spread across the Global South. And legions of autonomous vehicle designers are obsessed with “the trolley problem” – determining when or whether it is ethical to run over pedestrians.

But my research with robotic spacecraft teams at NASA shows that when companies reject the replacement myth and opt for building human-robot teams instead, many of the ethical issues with AI vanish.

Extending rather than replacing

Strong human-robot teams work best when they extend and augment human capabilities instead of replacing them. Engineers craft machines that can do work that humans cannot. Then, they weave machine and human labor together intelligently, working toward a shared goal.

Often, this teamwork means sending robots to do jobs that are physically dangerous for humans. Minesweeping, search-and-rescue, spacewalks and deep-sea robots are all real-world examples.

Teamwork also means leveraging the combined strengths of both robotic and human senses or intelligences. After all, there are many capabilities that robots have that humans do not – and vice versa.

For instance, human eyes on Mars can only see dimly lit, dusty red terrain stretching to the horizon. So engineers outfit Mars rovers with camera filters to “see” wavelengths of light that humans can’t see in the infrared, returning pictures in brilliant false colors.

Meanwhile, the rovers’ onboard AI cannot generate scientific findings. It is only by combining colorful sensor results with expert discussion that scientists can use these robotic eyes to uncover new truths about Mars.

Respectful data

Another ethical challenge to AI is how data is harvested and used. Generative AI is trained on artists’ and writers’ work without their consent, commercial datasets are rife with bias, and ChatGPT “hallucinates” answers to questions.

The real-world consequences of this data use in AI range from lawsuits to racial profiling.

Robots on Mars also rely on data, processing power and machine learning techniques to do their jobs. But the data they need is visual and distance information to generate driveable pathways or suggest cool new images.

By focusing on the world around them instead of our social worlds, these robotic systems avoid the questions around surveillance, bias and exploitation that plague today’s AI.

The ethics of care

Robots can unite the groups that work with them by eliciting human emotions when integrated seamlessly. For example, seasoned soldiers mourn broken drones on the battlefield, and families give names and personalities to their Roombas.

I saw NASA engineers break down in anxious tears when the rovers Spirit and Opportunity were threatened by Martian dust storms.

Unlike anthropomorphism – projecting human characteristics onto a machine – this feeling is born from a sense of care for the machine. It is developed through daily interactions, mutual accomplishments and shared responsibility.

When machines inspire a sense of care, they can underline – not undermine – the qualities that make people human.

A better AI is possible

In industries where AI could be used to replace workers, technology experts might consider how clever human-machine partnerships could enhance human capabilities instead of detracting from them.

Script-writing teams may appreciate an artificial agent that can look up dialog or cross-reference on the fly. Artists could write or curate their own algorithms to fuel creativity and retain credit for their work. Bots to support software teams might improve meeting communication and find errors that emerge from compiling code.

Of course, rejecting replacement does not eliminate all ethical concerns with AI. But many problems associated with human livelihood, agency and bias shift when replacement is no longer the goal.

The replacement fantasy is just one of many possible futures for AI and society. After all, no one would watch “Star Wars” if the ‘droids replaced all the protagonists. For a more ethical vision of humans’ future with AI, you can look to the human-machine teams that are already alive and well, in space and on Earth.

Janet Vertesi, Associate Professor of Sociology, Princeton University

This article is republished from The Conversation under a Creative Commons license. Read the original article.

Ever since the Soviet Union launched Sputnik into orbit on Oct. 4, 1957, America has been struggling to recruit and retain STEM teachers in its public middle and high schools.

In the 2017-2018 school year, approximately 100,000 teacher jobs in STEM – or science, technology, engineering and mathematics – went unfilled at the high school level. At the middle school level, there were about 150,000 unfilled STEM educator jobs.

The situation has been getting progressively worse over the past decade or so. For instance, in the 2011-2012 school year, 19% of public schools were unable to fill a teaching position for biology or life sciences. By the 2020-2021 school year, that number had grown to 31%. The situation was similar for other subjects, going from 19% to 32% for mathematics, and 26% to 47% for physical sciences, such as physics, geology and engineering.

Science shortages were a problem even before Sputnik, but the launch served as a wake-up call. Three months afterward, President Dwight D. Eisenhower stated during his Special Message to the Congress on Education that federal action was necessary to educate more science and mathematics teachers.

As a professor of education policy – and also as a former state secretary of education in Virginia – I have examined the STEM teacher shortage from multiple vantage points. In a September 2023 policy paper, a colleague and I recommend that in order to solve America’s STEM educator shortage, elected officials and education leaders should adopt something that is widely used in higher education – an endowed chair position for STEM teachers.

We think endowed chairs have the potential to retain and attract more STEM educators at the K-12 level, but it requires a willingness to rethink the ways that schools employ STEM educators.

What’s behind the gap?

Two factors contribute to so many unfilled vacancies in STEM education:

1. There are fewer college students graduating with a bachelor’s degree in education that ever before.

Between 1959-1976, bachelor’s degrees in education were the most popular college major in the United States, and they accounted for about 20% of all degrees. Between 1975-2021, the percentage of students majoring in education fell from 17% to 4%.

2. STEM graduates can earn more money outside of education.

When STEM majors go into a STEM career, they will earn, on average, US$101,100. When STEM graduates become a math, computer science or science teacher, they will earn, on average, only a fraction of that amount – roughly $60,000.

This salary gap between STEM professionals and STEM educators is what is known as the STEM teacher “wage penalty.”

According to a national survey of teacher salaries in 2017-18, average teacher salaries never exceeded $100,000,, regardless of years of experience.

But this only tells a portion of the STEM teacher salary story. In 2021, K-12 teachers’ weekly salary was only $1,348 – about $660 less than the $2,009 earned weekly by other college graduates.

Prior efforts to close the gap

Since developing a strong STEM workforce is vital to the nation’s security and economic well-being, several U.S. presidents have used their position to advance a STEM education agenda.

For example, when the Soviet Union launched Sputnik, Eisenhower and Congress came to realize that the nation needed to focus on what takes place in the classroom space – not just outer space.

The Senate and House passed the National Defense Education Act of 1958, and Eisenhower signed it into law on Sept. 2, 1958.

This set in motion a national STEM education agenda for American colleges and K-12 schools for decades to come.

Fifty-three years later, President Barack Obama utilized his 2011 State of the Union address to advance the national STEM agenda. “This is our generation’s Sputnik moment,” he said. “And over the next 10 years, with so many baby boomers retiring from our classrooms, we want to prepare 100,000 new teachers in the fields of science and technology and engineering and math.”

Through the leadership of 100Kin10, now named Beyond100K, the initiative exceeded the goal in 2021.

But the goal of the 100,000 STEM teacher campaign was to narrow the gap, not end it.

A shortage of STEM teachers remains. According to a survey of 53 states and territories, 39 states, the District of Columbia and the U.S. Virgin Islands had teacher vacancies in all subjects, STEM disciplines included, as of Feb 9, 2023. One additional reason for the current shortage is that public schools lost approximately 7% of their teachers – 233,000 instructors – between 2019-2021, which included STEM teachers.

Currently, President Joe Biden is promoting STEM education programs for teachers, the Department of Education has dedicated $120 billion to support STEM, and the National Science Foundation is supporting teacher fellowships.

The endowed chair as a potential solution

Federal investments in programs and fellowships to produce more STEM teachers are good. But those alone will not be enough to retain and attract the quality STEM educators we need.

That’s why a colleague and I recommend endowed chairs for K-12 educators.

Traditionally, an endowed chair is a prestigious faculty position funded through annual spending from a university’s endowment fund.

The interest earned on the endowment will partially or fully fund the salary of the position for as long as the university exists. Endowed chairs are awarded to those who are the best in their field.

The benefit of an endowed chair is that it will be paid for decades to come by the interest on investment. In our paper, we suggest that K-12 schools could use endowed chairs to support a K-12 STEM teacher’s salary, benefits and professional development, all the while saving money for the district and state.

If structured right, the interest on the endowment will pay a teacher’s salary and benefits, something the district would subsequently not have to pay. The endowment can be used to purchase STEM supplies. The money saved by the district can be used to invest in another teacher. The money could come from private individuals, corporations or foundations.

An endowed chair could also provide funding for teachers and students to have access to state-of-the-art learning technology. As part of the endowed chair contract, a teacher can participate in a fully paid externship at a STEM-focused public or private sector company during the summer months. The goal would be to bring to the classroom the experiences and insights the teacher learned from the externship.

An endowed STEM chair salary may never outpace what educators could earn if they entered the private market. But it can potentially help elevate their position and, perhaps, enable educators to make a salary that would be higher than what it would otherwise be.

Gerard Robinson, Professor of Practice in Public Policy and Law, University of Virginia

This article is republished from The Conversation under a Creative Commons license. Read the original article.

Over the last decade, smartphones have become ubiquitous not just for sending texts and staying abreast of news, but also for monitoring daily activity levels.

Among the most common, and arguably the most meaningful, tracking method for daily physical activity is step counting.

Counting steps is far more than a fad: The U.S. Department of Health and Human Services dedicated a sizable portion of its most recent physical activity guidelines to documenting the relationship between daily step counts and several chronic diseases.

Unfortunately, the guidelines have little to say about how step counts might be used to aid in weight management, an outcome of critical importance given the high rates of overweight and obesity in the U.S.

In the early 1980s, fewer than 14% of adults in the U.S. were classified as having obesity. Today, just over 40 years later, the prevalence of obesity is greater than 40% in the adult population, and current trends suggest that almost half of adults in the U.S. will be obese by 2030.

I am a professor of exercise science at Kennesaw State University, and our lab has been conducting studies examining relationships among step counts and a number of health outcomes.

While the evidence is clear that increasing numbers of adults are living in a chronic energy surplus that leads to weight gain, a key question is – why? What has changed so dramatically since 1980 that could explain why obesity rates have tripled?

Although the American diet is likely a key contributor, a wealth of research points to a reduction in physical activity as a major culprit behind the expanding waist lines – and step counts are an excellent indicator of physical activity.

Step counts may – or may not – lead to weight loss

A number of recent studies have looked at whether increasing step counts can lead to weight loss over a certain period of time. One large-scale study called a meta-analysis concluded that increasing physical activity by way of step counts was effective for attaining modest weight loss. However, many if not most studies examining the effect of exercise on weight loss report modest outcomes, with results that are variable and often disappointing.

That may be in part because the step count targets used in many weight management studies are most often set in an arbitrary manner, such as targeting 10,000 steps per day. Or, if they’re individualized at all, they’re based on initial behavioral characteristics, like adding a given number of steps to what a person is already accumulating in a typical day. Rarely, if ever, are the step targets in research studies based on any physical attributes of the participants.

My team’s research has compiled weight, body fat percentages and average step counts for large numbers of adults between 19 and 40 years of age. From that data, we have identified a way to determine specific step count goals based on key physical attributes – namely, baseline body weight and composition, and the desired body composition.

When it comes to health, it is important to remember that body weight does not tell the whole story. In fact, body composition is much more predictive of health status than body weight. Someone who weighs more than another person may be in better health if they have more muscle mass and a lower percentage of body fat than the other person who weighs less but has a higher proportion of body fat.

Parsing the numbers

We have used our data to develop a model that predicts average daily step counts per unit of fat mass from body fat percentage. We believe that this model can be used to determine how much people would need to walk to achieve a specific amount of weight and body fat reduction.

Take, for instance, a man who weighs 175 pounds (80 kilograms), of which 25% is fat. Our model suggests that he walks an average of 10,900 steps a day. Then consider another man who weighs 220 pounds (100 kilograms), of which 20% is fat. Although they have different amounts of lean mass, both men have about 44 pounds (20 kilograms) of fat. So our model predicts that the heavier man walks an average of 15,300 steps a day. In other words, the heavier person has a lower percentage of body fat and walks more to maintain that leaner body composition.

A person’s body fat percentage is every bit as important as their weight. That’s because how much muscle you have affects how hungry you get, as well as how many calories you burn. Muscle mass requires energy to maintain, and this requirement leads to increased appetite, which means taking in more calories. In this example, the heavier man probably eats more than the lighter man in order to maintain his lean muscle mass, and he must walk more to maintain his lower body fat percentage.

If you want to lose body fat, and therefore weight, you basically have two choices: You can eat less, or you can move more. Eating less means you’ll be hungry a lot, and that’s uncomfortable, unpleasant and, for most people, not sustainable. Moving more, on the other hand, can allow you to eat until you’re full and keep body fat off – or even lose it.

Therefore, we wanted to know how much a person who eats until they’re full might have to move to offset the calories they’re eating.

Step counts for weight loss

Currently, our model applies to young adults, but we are now collecting data for middle-aged and older adults too. To use this model, you need to first have your body composition determined, a service that is being offered by increasing numbers of fitness centers and medical practices. With our model, you must determine your body weight and fat weight in kilograms – to do this, simply divide your weight in pounds by 2.2.

With this information in hand, our model can provide a step count target that is specific to a person’s current body weight and body fat percentage, and their goal for fat loss and weight reduction.

For example, our model predicts that a woman weighing 155 pounds (70 kilograms) with 30% body fat currently accumulates an average of about 8,700 steps per day. If she wants to lose about 10 pounds and reach a body fat percentage around 25%, she could consult the model and discover that people who maintain that body composition accumulate an average of about 545 steps per kilogram of fat per day. Since she currently has about 46 pounds (21 kilograms) of fat, her goal would be to accumulate a total of 11,450 steps per day.

While that may seem at first glance to be a sizable increase in daily steps, most people can accumulate 1,000 steps in 10 minutes or less. So even with a comfortable pace, this additional daily dose of walking would take fewer than 30 minutes. Furthermore, steps can be accumulated throughout the day, with longer or more frequent trips, or both, to restrooms, vending machines and the like.

While steps certainly can be accumulated in dedicated walking sessions, such as a 15-minute walk during lunch hour and another 15-minute walk in the evening, they can also be accumulated in shorter, more frequent bouts of activity.

Researchers have learned a great deal in the past 70 years about appetite and energy expenditure: Appetite imposes a drive for food based largely on our fat-free mass, no matter how active or inactive we are, and we must accumulate enough physical activity to counter the calories that we take in through our diet if we want to maintain an energy balance – or exceed our intake to lose weight.

Bob Buresh, Professor of Exercise Science, and Director of the Exercise Physiology Lab, Kennesaw State University

This article is republished from The Conversation under a Creative Commons license. Read the original article.