Could artificial intelligence improve educational and clinical decisions made by your child’s teacher, or your mental-health professional or even your medical doctor? Yes, indeed, says a study by an UdeM psychoeducator and behaviour analyst published in Perspectives on Behavior Science.
When working with persons who experience daily challenges such as autism, ADHD, learning difficulties or mental health issues, practitioners often rely on their professional judgment to determine whether behavior is improving following intervention. But that’s not enough, according to the study.
“Unfortunately, experts often disagree when drawing conclusions based on behavioral data, which may lead to the premature interruption of an effective intervention or to the continuation of an ineffective treatment,” said lead author Marc Lanovaz, a researcher at the Institut universitaire en santé mentale de Montréal.
To find a better way, Lanovaz and colleagues at UdeM-affiliated Polytechnique Montréal and Manhattanville College in Purchase, N.Y. independently labeled more than 1,000 graphs and trained new decision models using machine learning.
Comparing conclusions
The conclusions drawn by these models were then compared to those produced by the visual-aid tool most studied by today’s researchers.
“Although we always assumed that our models would perform well, we did not expect them to be as accurate,” said Lanovaz, an associate professor who heads the Applied Behavioral Research Lab at UdeM’s School of Psychoeducation.
“Not only did the conclusions drawn by our models match the interpretation of experts more frequently than the most popular tool, they also produced more accurate conclusions on novel data,” he said.
According the authors, these models could eventually support practitioners in making better decisions about the effectiveness of their interventions.
“By improving decision-making, practitioners should more rapidly and accurately identify effective and ineffective behavioral interventions,” said Lanovaz. “Ultimately, we hope this change would translate to better tailored interventions for people with developmental disabilities, mental health issues or learning difficulties.”
The Latest Updates from Bing News & Google News
Go deeper with Bing News on:
Monitoring behavior using AI
- AI features boost Cisco’s Panoptica application security software
Cisco pads cloud-native security platform Panoptica with features that help customers protect containerized, microservice applications.
- The Latest Battle Against Fraud: Malicious Actors Harnessing Generative AI
Despite the memes and the headlines, the biggest threat to users of the latest hot tech probably isn’t using ... behavior—or, hopefully, confirm it’s a real person on the other end. Some signals can ...
- How AI automation can streamline security and help with fraud detection for your business
In this battle Artificial Intelligence AI emerges as a powerful ally offering state of the art solutions to combat fraud and secure business assets ...
- Feds: Reducing AI Risks Requires Visibility & Better Planning
"Where is AI in use? Where am I getting it from a third party ... secure those communications, and monitor the connection for anomalous behavior that could indicate malicious activity, he says. "While ...
- HPE Aruba looks to fight AI threats with AI weapons
Specifically, HPE will build new AI-powered security observability and monitoring features into its core HPE Aruba ... but also the ability to use behavior baselines to spot anomalies that can ...
Go deeper with Google Headlines on:
Monitoring behavior using AI
[google_news title=”” keyword=”monitoring behavior using AI” num_posts=”5″ blurb_length=”0″ show_thumb=”left”]
Go deeper with Bing News on:
Monitoring behavior
- Condition Monitoring System Market worth USD 7,928.7 million by 2033
Condition monitoring systems act as the sentinels of industrial machinery, providing valuable insights into their health and performance. This condition monitoring system market is experiencing ...
- Viral Video: Sidewalk Smackdown - Monitor Lizards Go Head-To-Head
In the animal kingdom, monitor lizards are known for their territorial behavior, often engaging in intense struggles for dominance. However, a recent altercation captured in viral footage has taken ...
- Varonis Adds AI Prompt Monitoring to Prevent Malicious Copilot Activity
In addition to detecting blatantly malicious intent, Varonis uses machine learning to build behavioral profiles for each user ... In addition to prompt monitoring and analysis, Varonis accelerates ...
- Global Transformer Monitoring System Market Set to Surge Past USD 7,646.39 Million Revenue by 2034, Growing at a CAGR of 8.9%
The global transformer monitoring system market, valued at a robust USD 3,259.70 million in 2024, anticipates a compelling Compound Annual Growth Rate (CAGR) of 8.9% from 2024 to 2034. This trajectory ...
- Banking behavior could be used to detect early Alzheimer's, finds new research
Alzheimer's Disease can be detected years in advance of a clinical diagnosis by monitoring how people manage their finances, according to new research.
Go deeper with Google Headlines on:
Monitoring behavior
[google_news title=”” keyword=”monitoring behavior” num_posts=”5″ blurb_length=”0″ show_thumb=”left”]