5 July 2024
Genetic Basis PTSD: AI Irrationality

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Modeling Human Irrationality: Implications for AI Development

In a recent development in the field of artificial intelligence, researchers have delved into modeling human irrationality to enhance the capabilities of AI systems. Human decision-making processes are inherently unpredictable, influenced by various factors such as received information, goals, predictions, and even unrelated desires like craving burritos. To bridge the gap between rational AI systems and irrational human behavior, a new model has been proposed by researchers from MIT and the University of Washington.

Traditionally, attempts to model human decision-making involved introducing noise into the system to mimic irrationality. However, this new model draws inspiration from high-level chess players who take more time to strategize in challenging situations. By running an algorithm for a specific problem, comparing its decisions to those of a human agent, and aligning them to predict the agent’s choices, this model can effectively account for human irrationality in decision-making processes. This novel approach could pave the way for more advanced AI systems that can collaborate effectively with humans.

Genetic Basis of PTSD: A Breakthrough Study

Post-Traumatic Stress Disorder (PTSD) is a complex condition that can have a profound impact on an individual’s quality of life, especially in the aftermath of traumatic experiences like war. Researchers at the Broad Institute of MIT and Harvard recently conducted a groundbreaking genetic study involving 1.2 million individuals, identifying 95 genome locations and 43 genes associated with the development of PTSD following trauma. This study, the largest of its kind, offers new insights into the genetic underpinnings of PTSD, opening up avenues for potential prevention and treatment strategies.

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The study sheds light on the intricate interplay between genetic factors and environmental triggers in the manifestation of PTSD. By uncovering specific genetic markers linked to the disorder, researchers aim to develop targeted interventions that could help individuals at risk of developing PTSD or aid in personalized treatment approaches for those already affected. This significant breakthrough holds promise for advancing our understanding of PTSD and enhancing support for individuals grappling with its debilitating effects.

Alphabetical Bias in Student Evaluation: Uncovering Hidden Trends

A surprising revelation emerged from a study conducted by researchers at the University of Michigan, highlighting an unexpected bias in student evaluation based on the alphabetical order of surnames. Analyzing data from an online learning management system, the researchers found that students with alphabetically lower-ranked surnames tended to receive lower grades and more negative comments compared to those with higher-ranked surnames. This bias, attributed to potential fatigue among educators, underscores the need for greater awareness and fairness in the assessment of students.

The study’s findings raise important questions about the impact of seemingly trivial factors, such as surname order, on educational outcomes and student experiences. By recognizing and addressing such biases, educators can strive for more equitable evaluation practices that promote a supportive learning environment for all students. This research serves as a reminder of the need to be vigilant against unconscious biases that may inadvertently influence educational assessments and outcomes.

Conservation Concerns: The Plight of Tasmanian Devils

Tasmanian devils, iconic creatures known for their stocky build and distinctive vocalizations, face a grave threat to their survival due to a contagious form of cancer known as devil facial tumor disease. These endangered animals have been battling the disease, which leads to the growth of large facial tumors impairing their ability to feed and survive. While previous reports suggested a slowdown in the spread of the disease, a recent genotyping study has cast doubt on these optimistic claims.

Researchers from various institutions have raised concerns about errors in the data used to assess the status of devil facial tumor disease, prompting a reevaluation of conservation efforts for Tasmanian devils. The ongoing challenges faced by these unique creatures underscore the importance of robust conservation strategies and accurate monitoring to safeguard their populations. By addressing the threats posed by diseases and other factors, conservationists can work towards preserving the biodiversity and ecological balance that Tasmanian devils contribute to their native habitats.

Links to additional Resources:

1. www.sciencemag.org 2. www.nature.com 3. www.pnas.org

Related Wikipedia Articles

Topics: Artificial intelligence, Post-Traumatic Stress Disorder (PTSD), Tasmanian devils

Artificial intelligence
Artificial intelligence (AI), in its broadest sense, is intelligence exhibited by machines, particularly computer systems. It is a field of research in computer science that develops and studies methods and software which enable machines to perceive their environment and uses learning and intelligence to take actions that maximize their chances...
Read more: Artificial intelligence

Post-traumatic stress disorder
Post-traumatic stress disorder (PTSD) is a mental and behavioral disorder that develops from experiencing a traumatic event, such as sexual assault, warfare, traffic collisions, child abuse, domestic violence, or other threats on a person's life or well-being. Symptoms may include disturbing thoughts, feelings, or dreams related to the events, mental...
Read more: Post-traumatic stress disorder

Tasmanian devil
The Tasmanian devil (Sarcophilus harrisii) (palawa kani: purinina) is a carnivorous marsupial of the family Dasyuridae. It was formerly present across mainland Australia, but became extinct there around 3,500 years ago. The size of a small dog, the Tasmanian devil became the largest carnivorous marsupial in the world following the...
Read more: Tasmanian devil

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