A new study used artificial intelligence to analyze relationship data from thousands of couples.
- Artificial intelligence discovered key relationship predictors in psychology study of over 11,000 couples.
- The researchers utilized machine learning to find the best predictors of relationship success and failure.
- The study showed the survival of a relationship depends more on its quality than individual characteristics of the people.
Credit: Western University.
It's a very human behavior—arguably one of the fundamentals that makes us us.
A small proof-of-concept study shows smartphones could help detect drunkenness based on the way you walk.
- The legal blood alcohol concentration (BAC) limit for driving in the U.S is 0.08 percent. You can measure your BAC 15 minutes after your first drink and your levels will remain safe if you consume no more than one standard drink per hour.
- Portable breathalyzers can be used to measure BAC, but not many people own these devices.
- A small proof-of-concept study suggests that your smartphone could detect your drunkenness based on the way you walk.
The small study that could mean big things for alcohol testing<img type="lazy-image" data-runner-src="https://assets.rebelmouse.io/eyJhbGciOiJIUzI1NiIsInR5cCI6IkpXVCJ9.eyJpbWFnZSI6Imh0dHBzOi8vYXNzZXRzLnJibC5tcy8yMzU3OTEzMi9vcmlnaW4uanBnIiwiZXhwaXJlc19hdCI6MTYzOTY0MDk0OH0.wFIh9fQoCEd7fGgw59Mn5nyp9c5yjQbCoVXQrx3AnNk/img.jpg?width=1245&coordinates=0%2C1307%2C0%2C880&height=700" id="df0bb" class="rm-shortcode" data-rm-shortcode-id="7c1e9a4575df74b89d0078c69a3dbd3d" data-rm-shortcode-name="rebelmouse-image" alt="alcohol impairment by BAC level chart" />
Image by gritsalak karalak on Shutterstock<p> While devices such as portable breath analyzers are available, not many people own them due to how expensive they are and the social stigma surrounding them. <a href="https://www.jsad.com/doi/10.15288/jsad.2020.81.505" target="_blank" rel="noopener noreferrer dofollow">This 2020 study</a> suggests smartphones could be an alternative. <a href="https://www.pewresearch.org/internet/fact-sheet/mobile/" target="_blank">According to PEW Research</a>, up to 81 percent of people own a smartphone.<span></span> </p><p> <strong>The study</strong> </p><p> For this small-scale study, there were 22 participants who visited the lab to consume a vodka-based drink that would raise their breath alcohol concentration to 0.02 percent. </p><p> Dr. Brian Suffoletto of the Stanford Medical School's Department of Emergency Medicine (and corresponding author of the study) explains to <a href="https://www.medicalnewstoday.com/articles/smartphones-measuring-walk-could-detect-drunkenness#Straight-line-walking" target="_blank">Medical News Today</a>: "I lost a close friend to a drinking and driving crash in college," Dr. Suffoletto says. "And as an emergency physician, I have taken care of scores of adults with injuries related to acute alcohol intoxication. Because of this, I have dedicated the past 10 years to testing digital interventions to prevent deaths and injury related to excessive alcohol consumption." </p><p> <strong>How it works:</strong></p><p> Before having the drink, each participant had a smartphone strapped to their back and was asked to walk 10 steps in a straight line and then back again. Every hour for the next 7 hours, the participants repeated this walk. </p><p> The sensors on the smartphone measured each person's acceleration and their movements (both from side to side and up and down). </p><p> <strong>This is not the first study of it's kind.</strong></p><p> Previous research (such as <a href="https://ieeexplore.ieee.org/document/7764559" target="_blank" rel="noopener noreferrer dofollow">this 2016 study</a>) has used machine learning to determine whether a person was intoxicated. That data, gathered from 34 'intoxicated' participants, generated time and frequency domain features such as sway area and cadence, which were classified using supervised machine learning. </p><p> This 2020 study showed promising results of the smartphone analysis: over 90 percent accuracy. </p><p> Researchers found through analyzing the data that 92.5 percent of the time they were able to determine if a participant had exceeded the legal BAC limit. </p><p> <strong>Of course, the study had some limitations.</strong></p><p> In real life, a person is very unlikely to keep their smartphone strapped to their back. Placing the phone in your pocket (or carrying it) could impact the accuracy. </p><p> This study also measured breath alcohol concentrations, which are on average <a href="https://pubmed.ncbi.nlm.nih.gov/24747668/" target="_blank" rel="noopener noreferrer dofollow">15 percent lower</a> than blood alcohol concentrations. </p><p> <strong>The implications of this small-scale study are exciting.</strong> </p><p> While this was a relatively small study, it is being used as a "proof of concept" marker for further research. Researchers on this project explain that future research would ideally be done in real-world settings with more volunteers. </p><p> Dr. Brian Suffoletto explains to <a href="https://www.medicalnewstoday.com/articles/smartphones-measuring-walk-could-detect-drunkenness#Over-90%-accurate" target="_blank" rel="noopener noreferrer dofollow">Medical News Today</a>: </p><p> "In 5 years, I would like to imagine a world in which, if people go out with friends and drink at risky levels, they get an alert at the first sign of impairment and are sent strategies to help them stop drinking and protect them from high-risk events, like driving, interpersonal violence, and unprotected sexual encounters." </p>
Researchers discover how to use light instead of electricity to advance artificial intelligence.
Does conscious AI deserve rights? | Big Think | YouTube<div class="rm-shortcode" data-media_id="G93PEG7O" data-player_id="FvQKszTI" data-rm-shortcode-id="52b76b7b4a42500d53aac15ebce2a2f8"> <div id="botr_G93PEG7O_FvQKszTI_div" class="jwplayer-media" data-jwplayer-video-src="https://content.jwplatform.com/players/G93PEG7O-FvQKszTI.js"> <img src="https://cdn.jwplayer.com/thumbs/G93PEG7O-1920.jpg" class="jwplayer-media-preview" /> </div> <script src="https://content.jwplatform.com/players/G93PEG7O-FvQKszTI.js"></script> </div>
If machines develop consciousness, or if we manage to give it to them, the human-robot dynamic will forever be different.
- Does AI—and, more specifically, conscious AI—deserve moral rights? In this thought exploration, evolutionary biologist Richard Dawkins, ethics and tech professor Joanna Bryson, philosopher and cognitive scientist Susan Schneider, physicist Max Tegmark, philosopher Peter Singer, and bioethicist Glenn Cohen all weigh in on the question of AI rights.
- Given the grave tragedy of slavery throughout human history, philosophers and technologists must answer this question ahead of technological development to avoid humanity creating a slave class of conscious beings.
- One potential safeguard against that? Regulation. Once we define the context in which AI requires rights, the simplest solution may be to not build that thing.