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Friday, April 19, 2024
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stanford institute for human centered artificial intelligence

10 things you may have suspected about AI but didn’t know for sure till now

All around the world, people are increasingly wise to the advance of AI. More than a few are growing ever more uneasy about it. And yet workers equipped with AI are both more productive and better at their jobs.

These are just a few of many noteworthy observations offered by analysts at Stanford University’s Institute for Human-Centered AI, aka “HAI.” The organization presents its latest findings in Artificial Intelligence Index Report 2024, the seventh in the series.

The report’s authors state the goal of their ongoing exercise is to track, collate, distill and visualize data from broad research related to AI. Here are 10 highlights from the report.

1. The public is pessimistic about AI’s economic impact.

One respected survey found that only 37% of respondents feel AI will improve their job. Just 34% anticipate AI will boost the economy, and 32% believe it will enhance the job market.

2. Demographic differences exist regarding AI optimism.

Some 59% of Gen Z respondents believe AI will improve entertainment options, versus only 40% of Baby Boomers. Additionally, individuals with higher incomes and education levels are more optimistic about AI’s positive impacts on entertainment, health and the economy than their lower-income and less-educated counterparts.

3. ChatGPT is widely known and widely used.

An international survey from the University of Toronto suggests that 63% of respondents are aware of ChatGPT. Of them, around half report using ChatGPT at least once weekly.

4. AI helps medicine take significant strides forward.

In 2023, several significant medical systems were launched, including EVEscape, which enhances pandemic prediction, and AlphaMissence, which assists in AI-driven mutation classification. AI is increasingly being utilized to propel medical advancements.

5. Highly knowledgeable medical AI has arrived.

Over the past few years, AI systems have shown remarkable improvement on the MedQA benchmark, a key test for assessing AI’s clinical knowledge. The standout model of 2023, GPT-4 Medprompt, reached an accuracy rate of 90.2%, marking a 22.6 percentage point increase from the highest score in 2022. Since the benchmark’s introduction in 2019, AI performance on MedQA has nearly tripled.

6. The FDA is approving more and more AI-equipped medical devices.

In 2022, the agency approved 139 AI-related medical devices, a 12.1% increase from 2021. Since 2012, the number of FDA-approved AI-related medical devices has increased more than 45-fold. And AI is increasingly being used for real-world medical purposes.

7. Robust and standardized evaluations for GenAI responsibility are seriously lacking.

New research from the AI Index reveals a significant lack of standardization in responsible AI reporting. Leading developers, including OpenAI, Google, and Anthropic, primarily test their models against different responsible AI benchmarks. This practice complicates efforts to systematically compare the risks and limitations of top AI models.

8. Researchers have discovered more complex vulnerabilities in large language models.

Previously, most efforts to probe these GenAI models for security weaknesses focused on testing adversarial prompts that intuitively made sense to humans. This year, researchers found less obvious strategies to get LLMs to exhibit harmful behavior, like asking the models to infinitely repeat random words.

9. The number of AI incidents continues to rise.

Some 123 incidents were reported in 2023—a 32.3% increase from 2022. Since 2013, AI incidents have grown by over twentyfold. A notable example includes AI-generated, sexually explicit deepfakes of Taylor Swift that were widely shared online.

10. ChatGPT is politically biased.

Researchers find a significant bias in ChatGPT toward Democrats in the United States and the Labour Party in the U.K. This finding raises concerns about the tool’s potential to influence users’ political views, particularly in a year marked by major global elections.

Access the report in full or by chapter here.

 

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Industry Watcher’s Digest

Buzzworthy developments of the past few days.

  • AI is on the cusp of transforming surgery. That’s the impression one comes away with after reading three articles on AI in the April Bulletin of the American College of Surgeons. “We’re going to be building our shared knowledge [with AI] to create what we call a shared surgical consciousness, one that holds more knowledge than any single surgeon can acquire,” says Ozanan Meireles, MD, inaugural vice-chair for innovation at Duke University’s surgery department, in one of the articles. “That collective surgical consciousness can guide us away from complications and truly improve patient care.” Access all three pieces here.
     
  • AI is shaking up healthcare inside the Military Health System. At a conference of the MHS earlier this month, attendees learned the Department of Defense’s Health Affairs division is “working to identify the actions needed to enable advances and adoption of artificial intelligence and machine learning across military medicine.” Read DoD’s own coverage.
     
  • When it comes to using AI for getting things done in real-world settings, no other industry has to be as careful as healthcare. That’s because no other industry has lives in the balance in so immediate a sense. Rajesh Viswanathan, chief technology officer for the healthcare software supplier Inovalon, considers the responsibility in a piece published by InsideBigData. “The highly regulated nature of our work, and the significant requirements around having supporting evidence for claims or decision-making, remind us that patient safety must always be top of mind,” he writes before running through several ways AI is already making a difference in healthcare, albeit in nonclinical settings. Read the rest.
     
  • Europe is a major healthcare market but not just for any seller of healthcare software. This is to say that American digital-health startups hoping to sell their stuff in the Old Continent should know what regulatory hurdles they’ll need to clear under the EU’s still-new Artificial Intelligence Act, which passed just two months ago. The outlet MD+DI (for Medical Device and Diagnostic Industry) lays out the essentials in an up-to-date article published April 16. Look past the misplaced apostrophe in the headline and get edified by the rest.
     
  • Be afraid. Be at least somewhat afraid. Researchers have shown that facial recognition technology can discern political beliefs—even in people doing their best poker face. One of the lead researchers, organizational behaviorist Michal Kosinski of Stanford, calls the demonstration of the technology’s prowess “inconvenient.” For ideological reasons, adds Kosinski, who is also a computational psychologist and a psychometrician, “scientists prefer to avoid discussing links between appearance and traits. However, companies and governments are keen to use facial recognition to identify intimate traits.” PsyPost has the story.
     
  • Cedars-Sinai Technology Ventures is on a roll. The Los Angeles-based operation now manages upwards of 500 works-in-progress technologies, oversees more than 1,100 patents and, over the past five years, has generated more than $1 billion in tech-transfer revenues. The work includes the Cedars-Sinai Accelerator, which exists to “fast-track the development of the next generation of ideas that will transform patient care at Cedars-Sinai and beyond.” Learn more.
     
  • It’s hard to think of an industry further afield of healthcare than earth-moving equipment. Maybe it’s me, but I think that’s a great reason to spend a couple of minutes boning up on how a major player in the latter field is using AI. “Using Gen AI, Caterpillar’s condition monitoring advisors are now presented with a concise report containing data [on equipment assets in the field] that has been automatically prepared and summarized,” says the manufacturer of construction and mining equipment, off-highway diesel and natural gas engines, industrial gas turbines and diesel-electric locomotives. “There’s still a human in the loop, but the time required to prepare data and create a recommendation [for the customer] is significantly reduced.” Fascinating.
     
  • Recent research roundup: 
     
  • AI investments of note:
     
  • From AIinHealthcare’s news partners:
     
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