Connect with us

The Conversation

How the oil industry and growing political divides turned climate change into a partisan issue

Published

on

theconversation.com – Joe Árvai, Director of the Wrigley Institute for Environment and Sustainability | Professor of Psychology, Biological Sciences, and Environmental Studies, USC Dornsife College of Letters, Arts and Sciences – 2025-01-22 07:44:00

Donald Trump’s pro-fossil fuel positions stand in sharp contrast with efforts to protect the climate.
Brendan Smialowski/AFP via Getty Images

Joe Árvai, USC Dornsife College of Letters, Arts and Sciences

After four years of U.S. progress on efforts to deal with climate change under Joe Biden, Donald Trump’s return to the White House is swiftly swinging the pendulum in the opposite direction.

On his first day back, Trump declared a national energy emergency, directing agencies to use any emergency powers available to boost oil and gas production, despite U.S. oil and gas production already being near record highs and leading the world. He revoked Biden’s orders that had withdrawn large areas of the Arctic and the U.S. coasts from oil and natural gas leasing. Among several other executive orders targeting Biden’s pro-climate policies, Trump also began the process of pulling the U.S. out of the international Paris climate agreement – a repeat of a move he made in 2017, which Biden reversed.

None of Trump’s moves to sideline climate change as an important domestic and foreign policy issue should come as a surprise.

During his first term as president, 2017-2021, Trump repealed the Obama-era Clean Power Plan for reducing power plant emissions, falsely claimed that wind turbines cause cancer, and promised to “end the war on coal” and boost the highly polluting energy source. He once declared that climate change was a hoax perpetuated by China.

Since being elected again in November, Trump has again chosen Cabinet members who support the fossil fuel industry.

But it’s important to remember that while Donald Trump is singing from the Republican Party songbook when it comes to climate change, the music was written long before he came along.

Money, lies and lobbying

In 1979, the scientific consensus that climate change posed a significant threat to the environment, the economy and society as we had come to appreciate them began to emerge.

The Ad Hoc Study Group on Carbon Dioxide and Climate, commissioned by the U.S. National Research Council’s climate research board, concluded then that if carbon dioxide continued to accumulate in the atmosphere, there was “no reason to doubt that climate changes will result.” Since then, the concentration of carbon dioxide in the atmosphere has risen by about 25%, and temperatures have risen with it.

The report also concluded that land use changes and the burning of fossil fuels, both of which could be subject to regulation, were behind climate change and that a “wait-and-see policy may mean waiting until it is too late.”

But none of this came as a surprise to the oil industry. Working behind the scenes since the 1950s, researchers working for companies such as Exxon, Shell and Chevron had made their leaders well aware that the widespread use of their product was already causing climate change. And coinciding with the Ad Hoc Study Group’s work in the late 1970s, oil companies started making large donations to national and state-level candidates and politicians they viewed as friendly to the interests of the industry.

A figure from an internal Exxon report in 1982 predicted how much carbon dioxide would build up from fossil fuel use, and how much global warming it would cause through the 21st century, unless action was taken. Those projections were remarkably accurate
A summary of all global warming projections reported by ExxonMobil scientists in internal documents and peer-reviewed publications, 1977 to 2003, superimposed on observed temperature change (red). Solid gray lines indicate global warming projections modeled by ExxonMobil scientists; dashed gray lines are projections shared by ExxonMobil scientists from other sources. Shades of gray reflect start dates: earliest (1977) is lightest; latest (2003) is darkest.
Geoffrey Supran

The oil industry also implemented a disinformation campaign designed to cast doubt about climate science and, in many cases, about their own internal research. The strategy, ripped from the pages of the tobacco industry playbook, involved “emphasizing uncertainty” to cast doubt on the science and calling for “balanced” science to sow confusion.

This strategy was helped by the creation and financial backing of lobbying organizations such as the Competitive Enterprise Institute and the Global Climate Coalition, both of which played central roles in spreading falsehoods and casting doubt on the scientific consensus about climate change.

By 1997, when 84 countries signed the Kyoto Protocol to curb global greenhouse gas emissions, the oil industry had built an effective apparatus for actively discrediting climate science and opposing policies and actions that could help slow climate change. So even though President Bill Clinton signed the treaty in 1998, the United States Congress refused to ratify it.

Partisan politics and the psychology of belonging

The Kyoto Protocol experience demonstrated that the lobbying and disinformation tactics used by oil companies to discredit climate science could, on their own, be highly effective. But they alone didn’t shift climate change from a scientific question to an issue of partisan politics. Two additional ingredients for completing the transition were still absent.

The first of these came during the election campaign of 2000. At the time, the coverage of the major news networks converged on dividing the country into red states, which lean right, and blue states, which lean left.

This shift, though seemingly innocuous at the time, made politics even less about individual issues and more like a team sport.

Rather than asking people to construct their voting preferences based on a wide range of issues – from abortion and gun rights to immigration and climate change – votes could be earned by reminding and reinforcing for voters which team they should be cheering for: Republicans or Democrats.

This shift also made it easier for the fossil fuel industry to keep climate change off state and federal policy agendas. Oil companies could focus their money, lobbying and disinformation on Republican-controlled states and swing states where it would make the biggest difference. It shouldn’t surprise anyone, for example, that it was a red state senator, James Inhofe of Oklahoma, who brought a snowball to the Senate floor in February 2015 to “prove” that the planet was not warming.

YouTube video
Sen. James Inhofe of Oklahoma brings a snowball to the Senate in February 2015. Every year since then has been warmer than 2014, with 2024 the warmest on record.

The final ingredient had everything to do with human nature. Building on the analogy of a rivalry in sports, the red vs. blue state dynamic tapped into the psychological and social forces that shape our sense of belonging and identity.

Subtle but powerful social pressures within groups can make it harder for people to accept ideas, evidence and arguments from those outside the group. Likewise, these within-group pressures lead to preferential treatment for members who are in alignment with the group’s perspectives, up to and including placing greater trust in those who appear to represent the group’s collective interests.

Within-group pressures also create stronger feelings of belonging among those who conform to the group’s internal norms, such as which political positions to support. In turn, stronger feelings of belonging serve to further reinforce the norms.

Where to from here?

Opposing or supporting action on climate change has become part of millions of Americans’ cultural identity.

However, doubling down on climate policies that are in lockstep with our own political leanings will serve only to strengthen the divide.

A more effective solution would be to set aside political differences and invest in building coalitions across the political spectrum. That starts by focusing on shared values, such as keeping children healthy and communities safe. In the wake of devastating fires in my own city, Los Angeles, these shared values have risen to the top of the local political agenda regardless of who my neighbors and I voted for. It’s clear to all of us that the consequences of climate change are very much in the here and now.

Natural disasters across the U.S. have also brought the risks of climate change home for many people across the country. This, in turn, has led to bipartisan action on climate change at the local and regional levels, and between government and the private sector.

The U.S. Climate Alliance, a coalition of 24 governors from both parties who are working to advance efforts to slow climate change, is one such example. Another example is the many U.S. companies with ties to government that participate in the First Movers Coalition, which aims to reduce greenhouse gas emissions from industries that have proven difficult to decarbonize, such as steel, transportation and shipping.

But, unfortunately for climate action, examples like these are still an exception rather than the norm. And this is a problem because the current climate challenge is much bigger than a single city, state or even country. The past year, 2024, was the hottest on record. Many parts of the world experienced extreme heat waves and storms.

However, every movement has to start somewhere. Continuing to chip away at the partisan barriers that separate Americans on climate change will require even more coalition building that sets an example by being ambitious, productive and visible.

With the new Trump administration poised to target the recent progress made on climate change while preparing executive actions that will increase greenhouse gas emissions, there’s no better time for this work than the present.The Conversation

Joe Árvai, Director of the Wrigley Institute for Environment and Sustainability | Professor of Psychology, Biological Sciences, and Environmental Studies, USC Dornsife College of Letters, Arts and Sciences

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

Read More

The post How the oil industry and growing political divides turned climate change into a partisan issue appeared first on theconversation.com

The Conversation

What causes RFK Jr.’s strained and shaky voice? A neurologist explains this little-known disorder

Published

on

theconversation.com – Indu Subramanian, Clinical Professor of Neurology, University of California, Los Angeles – 2025-05-01 07:45:00

U.S. Secretary of Health and Human Services Robert F. Kennedy Jr. speaks at an April 16, 2025, news conference in Washington, D.C.
Alex Wong via Getty Images

Indu Subramanian, University of California, Los Angeles

Health and Human Services Secretary Robert F. Kennedy Jr. has attracted a lot of attention for his raspy voice, which results from a neurological voice disorder called spasmodic dysphonia.

Kennedy, 71, says that in his 40s he developed a neurological disease that “robbed him of his strong speaking voice.” Kennedy first publicly spoke of the quiver he had noticed in his voice in a 2004 interview with journalist Diane Rehm, who also had spasmodic dysphonia.

In 2005, Kennedy was receiving shots of botulinum toxin, the neurotoxin that is now used in Botox as well as to treat migraines and other conditions, every four months. This first-line treatment for dysphonia helps to weaken the vocal folds that contract abnormally with this condition. He used botulinum toxin injections for 10 years and then stopped using them, saying they were “not a good fit” for him.

Kennedy initially developed symptoms while in the public eye teaching at Pace University in New York. Some viewers wrote to him suggesting that he had the condition spasmodic dysphonia and that he should contact a well-known expert on the disease, Dr. Andrew Blitzer. He followed this advice and had the diagnosis confirmed.

I am a movement disorders neurologist and have long been passionate about the psychological and social toll that conditions such as dysphonias have on my patients.

YouTube video
Kennedy says his condition began in 1996, when he was 42.

Types of dysphonias

In North America, an estimated 50,000 people have spasmodic dysphonia. The condition involves the involuntary pulling of the muscles that open and close the vocal folds, causing the voice to sound strained and strangled, at times with a breathy quality. About 30% to 60% of people with the condition also experience vocal tremor, which can alter the sound of the voice.

Typically, a neurologist may suspect the disorder by identifying characteristic voice breaks when the patients is speaking. The diagnosis is confirmed with the help of an ear, nose and throat specialist who can insert a small scope into the larynx, examine the vocal folds and rule out any other abnormalities.

Because the disorder is not well known to the public, many patients experience a delay in diagnosis and may be misdiagnosed with gastric reflux or allergies.

The most common type of spasmodic dysphonia is called adductor dysphonia, which accounts for 80% of cases. It is characterized by a strained or strangled voice quality with abrupt breaks on vowels due to the vocal folds being hyperadducted, or abnormally closed.

In contrast, a form of the condition called abductor dysphonia causes a breathy voice with breaks on consonants due to uncontrolled abduction – meaning coming apart of the vocal folds.

Potential treatments

Spasmodic dysphonia is not usually treatable with oral medications and sometimes can get better with botulinum toxin injections into the muscles that control the vocal cords. It is a lifelong disorder currently without a cure. Voice therapy through working with a speech pathologist alongside botulinum toxin administration may also be beneficial.

Surgical treatments can be an option for patients who fail botulinum toxin treatment, though surgeries come with risks and can be variably effective. Surgical techniques are being refined and require wider evaluation and long-term follow-up data before being considered as a standard treatment for spasmodic dysphonia.

YouTube video
The sudden, uncontrollable movements caused by irregular folding of the vocal folds are referred to as spasms, which gave rise to the name spasmodic dysphonia.

Dysphonias fall into a broader category of movement disorders

Spasmodic dysphonia is classified as a focal dystonia, a dystonia that affects one body part – the vocal folds, in the case of spasmodic dysphonia. Dystonia is an umbrella term for movement disorders characterized by sustained or repetitive muscle contractions that cause abnormal postures or movements.

The most common dystonia is cervical dystonia, which affects the neck and can cause pulling of the head to one side.

Another type, called blepharospasm, involves involuntary muscle contractions and spasms of the eyelid muscles that can cause forced eye closure that can even affect vision in some cases. There can be other dystonias such as writer’s cramp, which can make the hand cramp when writing. Musicians can develop dystonias from overusing certain body parts such as violinists who develop dystonia in their hands or trumpet players who develop dystonia in their lips.

Stigmas and psychological distress

Dystonias can cause tremendous psychological distress.

Many dystonias and movement disorders in general, including Parkinson’s disease and other conditions that result in tremors, face tremendous amounts of stigma. In Africa, for instance, there is a misconception that the affected person has been cursed by witchcraft or that the movement disorder is contagious. People with the condition may be hidden from society or isolated from others due to fear of catching the disease.

In the case of spasmodic dysphonia, the affected person may feel that they appear nervous or ill-prepared while speaking publicly. They may be embarrassed or ashamed and isolate themselves from speaking to others.

My patients have been very frustrated by the unpredictable nature of the symptoms and by having to avoid certain sounds that could trigger the dysphonia. They may then have to restructure their word choices and vocabulary so as not to trigger the dysphonia, which can be very mentally taxing.

Some patients with dysphonia feel that their abnormal voice issues affect their relationships and their ability to perform their job or take on leadership or public-facing roles. Kennedy said in an interview that he finds the sound of his own voice to be unbearable to listen to and apologizes to others for having to listen to it.

A 2005 study exploring the biopsychosocial consequences of spasmodic dysphonia through interviews with patients gives some insight into the experience of people living with the disorder.

A patient in that study said that their voice sounded “like some kind of wild chicken screeching out words,” and another patient said that it “feels like you’re having to grab onto a word and push it out from your throat.” Another felt like “there’s a rubber band around my neck. Someone was constricting it.” And another said, “It feels like you have a sore throat all the time … like a raw feeling in your throat.”

Patients in the study described feeling hopeless and disheartened, less confident and less competent. The emotional toll can be huge. One patient said, “I used to be very outgoing and now I find myself avoiding those situations.” Another said, “People become condescending like you’re not capable anymore because you don’t speak well.”

As conditions such as spasmodic dysphonia become better recognized, I am hopeful that not only will treatments improve, but that stigmas around such conditions will diminish.The Conversation

Indu Subramanian, Clinical Professor of Neurology, University of California, Los Angeles

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

Read More

The post What causes RFK Jr.’s strained and shaky voice? A neurologist explains this little-known disorder appeared first on theconversation.com



Note: The following A.I. based commentary is not part of the original article, reproduced above, but is offered in the hopes that it will promote greater media literacy and critical thinking, by making any potential bias more visible to the reader –Staff Editor.

Political Bias Rating: Centrist

This content is predominantly medical and informational, focusing on the neurological condition of spasmodic dysphonia and the personal experience of Robert F. Kennedy Jr. with it. The article provides a balanced, fact-based explanation of the disorder, its symptoms, treatments, and social impacts without introducing political or ideological commentary. The tone is neutral, aiming to educate rather than persuade, and it refrains from taking any political stance or showing bias toward any political ideology.

Continue Reading

The Conversation

AI is giving a boost to efforts to monitor health via radar

Published

on

theconversation.com – Chandler Bauder, Electronics Engineer, U.S. Naval Research Laboratory – 2025-04-30 07:48:00

AI-powered radar could enable contactless health monitoring in the home.
Chandler Bauder

Chandler Bauder, U.S. Naval Research Laboratory and Aly Fathy, University of Tennessee

If you wanted to check someone’s pulse from across the room, for example to remotely monitor an elderly relative, how could you do it? You might think it’s impossible, because common health-monitoring devices such as fingertip pulse oximeters and smartwatches have to be in contact with the body.

However, researchers are developing technologies that can monitor a person’s vital signs at a distance. One of those technologies is radar.

We are electrical engineers who study radar systems. We have combined advances in radar technology and artificial intelligence to reliably monitor breathing and heart rate without contacting the body.

Noncontact health monitoring has the potential to be more comfortable and easier to use than traditional methods, particularly for people looking to monitor their vital signs at home.

How radar works

Radar is commonly known for measuring the speed of cars, making weather forecasts and detecting obstacles at sea and in the air. It works by sending out electromagnetic waves that travel at the speed of light, waiting for them to bounce off objects in their path, and sensing them when they return to the device.

Radar can tell how far away things are, how fast they’re moving, and even their shape by analyzing the properties of the reflected waves.

Radar can also be used to monitor vital signs such as breathing and heart rate. Each breath or heartbeat causes your chest to move ever so slightly – movement that’s hard for people to see or feel. However, today’s radars are sensitive enough to detect these tiny movements, even from across a room.

Advantages of radar

There are other technologies that can be used to measure health remotely. Camera-based techniques can use infrared light to monitor changes in the surface of the skin in the same manner as pulse oximeters, revealing information about your heart’s activity. Computer vision systems can also monitor breathing and other activities, such as sleep, and they can detect when someone falls.

However, cameras often fail in cases where the body is obstructed by blankets or clothes, or when lighting is inadequate. There are also concerns that different skin tones reflect infrared light differently, causing inaccurate readings for people with darker skin. Additionally, depending on high-resolution cameras for long-term health monitoring brings up serious concerns about patient privacy.

side-by-side images, one of a person and the other a verticle series of nested blobs of color
Radar sees the world in terms of how strongly objects in its view reflect the transmitted signals. The resolution of images it can generate are much lower than images cameras produce.
Chandler Bauder

Radar, on the other hand, solves many of these problems. The wavelengths of the transmitted waves are much longer than those of visible or infrared light, allowing the waves to pass through blankets, clothing and even walls. The measurements aren’t affected by lighting or skin tone, making them more reliable in different conditions.

Radar imagery is also extremely low resolution – think old Game Boy graphics versus a modern 4K TV – so it doesn’t capture enough detail to be used to identify someone, but it can still monitor important activities. While it does project energy, the amount does not pose a health hazard. The health-monitoring radars operate at frequencies and power levels similar to the phone in your pocket.

Radar + AI

Radar is powerful, but it has a big challenge: It picks up everything that moves. Since it can detect tiny chest movements from the heart beating, it also picks up larger movements from the head, limbs or other people nearby. This makes it difficult for traditional processing techniques to extract vital signs clearly.

To address this problem we created a kind of “brain” to make the radar smarter. This brain, which we named mm-MuRe, is a neural network – a type of artificial intelligence – that learns directly from raw radar signals and estimates chest movements. This approach is called end-to-end learning. It means that, unlike other radar plus AI techniques, the network figures out on its own how to ignore the noise and focus only on the important signals.

a diagram with two cartoon representations of people on one side, a brain on the other and vertical curved lines in betwenn
In our study, we used AI to transform raw, unprocessed radar signals into vital signs waveforms of one or two people.
Chandler Bauder

We found that this AI enhancement not only gives more accurate results, it also works faster than traditional methods. It handles multiple people at once, for example an elderly couple, and adapts to new situations, even those it didn’t see during training – such as when people are sitting at different heights, riding in a car or standing close together.

Implications for health care

Reliable remote health monitoring using radar and AI could be a major boon for health care. With no need to touch the patient’s skin, risks of rashes, contamination and discomfort could be greatly reduced. It’s especially helpful in long-term care, where reducing wires and devices can make life significantly easier for patients and caregivers.

Imagine a nursing home where radar quietly watches over residents, alerting caregivers immediately if someone has breathing trouble, falls or needs help. It can be implemented as a home system that checks your breathing while you sleep – no wearables required. Doctors could even use radar to remotely monitor patients recovering from surgery or illness.

This technology is moving quickly toward real-world use. In the future, checking your health could be as simple as walking into a room, with invisible waves and smart AI working silently to take your vital signs.The Conversation

Chandler Bauder, Electronics Engineer, U.S. Naval Research Laboratory and Aly Fathy, Professor of Electrical Engineering, University of Tennessee

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

Read More

The post AI is giving a boost to efforts to monitor health via radar appeared first on theconversation.com



Note: The following A.I. based commentary is not part of the original article, reproduced above, but is offered in the hopes that it will promote greater media literacy and critical thinking, by making any potential bias more visible to the reader –Staff Editor.

Political Bias Rating: Centrist

The article is focused on a scientific and technological development related to health monitoring using radar and artificial intelligence. It provides an overview of the research process, technical details, and potential health care applications without expressing a clear ideological stance. The tone remains neutral, emphasizing the technical capabilities and benefits of the technology, particularly in long-term care and home health monitoring. While it does mention potential privacy concerns with other methods like cameras, it does so without taking a political position, focusing instead on the advantages of radar. The content adheres to factual reporting and avoids overt bias or advocacy, presenting the information in a straightforward and informative manner.

Continue Reading

The Conversation

Forensics tool ‘reanimates’ the ‘brains’ of AIs that fail in order to understand what went wrong

Published

on

theconversation.com – David Oygenblik, Ph.D. Student in Electrical and Computer Engineering, Georgia Institute of Technology – 2025-04-30 07:47:00

Tesla crashes are only the most glaring of AI failures.
South Jordan Police Department via APPEAR

David Oygenblik, Georgia Institute of Technology and Brendan Saltaformaggio, Georgia Institute of Technology

From drones delivering medical supplies to digital assistants performing everyday tasks, AI-powered systems are becoming increasingly embedded in everyday life. The creators of these innovations promise transformative benefits. For some people, mainstream applications such as ChatGPT and Claude can seem like magic. But these systems are not magical, nor are they foolproof – they can and do regularly fail to work as intended.

AI systems can malfunction due to technical design flaws or biased training data. They can also suffer from vulnerabilities in their code, which can be exploited by malicious hackers. Isolating the cause of an AI failure is imperative for fixing the system.

But AI systems are typically opaque, even to their creators. The challenge is how to investigate AI systems after they fail or fall victim to attack. There are techniques for inspecting AI systems, but they require access to the AI system’s internal data. This access is not guaranteed, especially to forensic investigators called in to determine the cause of a proprietary AI system failure, making investigation impossible.

We are computer scientists who study digital forensics. Our team at the Georgia Institute of Technology has built a system, AI Psychiatry, or AIP, that can recreate the scenario in which an AI failed in order to determine what went wrong. The system addresses the challenges of AI forensics by recovering and “reanimating” a suspect AI model so it can be systematically tested.

Uncertainty of AI

Imagine a self-driving car veers off the road for no easily discernible reason and then crashes. Logs and sensor data might suggest that a faulty camera caused the AI to misinterpret a road sign as a command to swerve. After a mission-critical failure such as an autonomous vehicle crash, investigators need to determine exactly what caused the error.

Was the crash triggered by a malicious attack on the AI? In this hypothetical case, the camera’s faultiness could be the result of a security vulnerability or bug in its software that was exploited by a hacker. If investigators find such a vulnerability, they have to determine whether that caused the crash. But making that determination is no small feat.

Although there are forensic methods for recovering some evidence from failures of drones, autonomous vehicles and other so-called cyber-physical systems, none can capture the clues required to fully investigate the AI in that system. Advanced AIs can even update their decision-making – and consequently the clues – continuously, making it impossible to investigate the most up-to-date models with existing methods.

YouTube video
Researchers are working on making AI systems more transparent, but unless and until those efforts transform the field, there will be a need for forensics tools to at least understand AI failures.

Pathology for AI

AI Psychiatry applies a series of forensic algorithms to isolate the data behind the AI system’s decision-making. These pieces are then reassembled into a functional model that performs identically to the original model. Investigators can “reanimate” the AI in a controlled environment and test it with malicious inputs to see whether it exhibits harmful or hidden behaviors.

AI Psychiatry takes in as input a memory image, a snapshot of the bits and bytes loaded when the AI was operational. The memory image at the time of the crash in the autonomous vehicle scenario holds crucial clues about the internal state and decision-making processes of the AI controlling the vehicle. With AI Psychiatry, investigators can now lift the exact AI model from memory, dissect its bits and bytes, and load the model into a secure environment for testing.

Our team tested AI Psychiatry on 30 AI models, 24 of which were intentionally “backdoored” to produce incorrect outcomes under specific triggers. The system was successfully able to recover, rehost and test every model, including models commonly used in real-world scenarios such as street sign recognition in autonomous vehicles.

Thus far, our tests suggest that AI Psychiatry can effectively solve the digital mystery behind a failure such as an autonomous car crash that previously would have left more questions than answers. And if it does not find a vulnerability in the car’s AI system, AI Psychiatry allows investigators to rule out the AI and look for other causes such as a faulty camera.

Not just for autonomous vehicles

AI Psychiatry’s main algorithm is generic: It focuses on the universal components that all AI models must have to make decisions. This makes our approach readily extendable to any AI models that use popular AI development frameworks. Anyone working to investigate a possible AI failure can use our system to assess a model without prior knowledge of its exact architecture.

Whether the AI is a bot that makes product recommendations or a system that guides autonomous drone fleets, AI Psychiatry can recover and rehost the AI for analysis. AI Psychiatry is entirely open source for any investigator to use.

AI Psychiatry can also serve as a valuable tool for conducting audits on AI systems before problems arise. With government agencies from law enforcement to child protective services integrating AI systems into their workflows, AI audits are becoming an increasingly common oversight requirement at the state level. With a tool like AI Psychiatry in hand, auditors can apply a consistent forensic methodology across diverse AI platforms and deployments.

In the long run, this will pay meaningful dividends both for the creators of AI systems and everyone affected by the tasks they perform.The Conversation

David Oygenblik, Ph.D. Student in Electrical and Computer Engineering, Georgia Institute of Technology and Brendan Saltaformaggio, Associate Professor of Cybersecurity and Privacy, and Electrical and Computer Engineering, Georgia Institute of Technology

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

Read More

The post Forensics tool ‘reanimates’ the ‘brains’ of AIs that fail in order to understand what went wrong appeared first on theconversation.com



Note: The following A.I. based commentary is not part of the original article, reproduced above, but is offered in the hopes that it will promote greater media literacy and critical thinking, by making any potential bias more visible to the reader –Staff Editor.

Political Bias Rating: Centrist

The article focuses on the development of a forensic tool, AI Psychiatry, designed to investigate the failure of AI systems. It provides technical insights into how this tool can help investigate and address AI failures, particularly in autonomous vehicles, without promoting any ideological stance. The content is centered on technological advancements and their practical applications, with an emphasis on problem-solving and transparency in AI systems. The tone is neutral, focusing on factual reporting about AI forensics and the technical capabilities of the system. There is no discernible political bias in the article, as it largely sticks to technical and academic subjects without introducing political viewpoints.

Continue Reading

Trending