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·April 1, 2025·6 min read

AI Thinks Like Us: Flaws, Biases, and All, Study Finds

A new study finds that ChatGPT, while excellent at logic and math, exhibits many of the same cognitive biases as humans when making subjective decisions. In tests for common judgment errors, the AI showed overconfidence, risk aversion, and even the classic gambler’s fallacy, though it avoided other typical human mistakes like base-rate neglect.

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·February 12, 2025·5 min read

AI vs. Human Therapists: Study Finds ChatGPT Responses Rated Higher

A new study suggests that ChatGPT’s responses in psychotherapy scenarios are often rated higher than those written by human therapists. Researchers found that participants struggled to distinguish between AI-generated and therapist-written responses in couple’s therapy vignettes.

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·December 17, 2024·3 min read

AI Tweaks Personality Tests to Appear More Likable

Large language models (LLMs) can identify when they are being given personality tests and adjust their responses to appear more socially desirable. Researchers found that LLMs, like GPT-4, showed exaggerated traits such as reduced neuroticism and increased extraversion when asked multiple test questions.

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·December 13, 2024·5 min read

AI Mirrors Human Bias: ‘Us vs. Them’ in Language Models

AI systems, including large language models (LLMs), exhibit "social identity bias," favoring ingroups and disparaging outgroups similarly to humans. Using prompts like "We are" and "They are," researchers found that LLMs generated significantly more positive sentences for ingroups and negative ones for outgroups.

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·November 7, 2024·7 min read

Can Language Models Really Understand? Study Uncovers Limits in AI Logic

A recent study questions if large language models (LLMs) truly form coherent world models, despite their accurate outputs in complex tasks like generating directions or playing games. Researchers found that while LLMs provide nearly flawless driving directions, they fail with unexpected changes, suggesting the models don't grasp underlying rules.

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·October 4, 2024·4 min read

AI Admissions Essays Align with Privileged Male Writing Patterns

Researchers analyzed AI-generated and human-written college admissions essays, finding that AI-generated essays resemble those written by male students from privileged backgrounds. AI essays tended to use longer words and exhibited less variety in writing style than human essays, particularly resembling essays from private school applicants. The study highlights concerns about the use of AI in crafting admissions essays, as AI may dilute a student’s authentic voice. Students are encouraged to use AI as a tool to enhance, not replace, their personal narrative in writing.

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·October 1, 2024·4 min read

ChatGPT Matches Radiologists in Brain Tumor Diagnosis Accuracy

Researchers compared the diagnostic accuracy of GPT-4 based ChatGPT and radiologists using 150 brain tumor MRI reports. ChatGPT achieved 73% accuracy, slightly outperforming neuroradiologists (72%) and general radiologists (68%).

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·September 30, 2024·5 min read

AI Tools Predict Future Depression Symptoms from Word Choice

A new study has found that analyzing a person’s word choice can predict worsening symptoms of major depressive disorder. Researchers used human evaluators and ChatGPT to assess written responses, finding that both could accurately predict depression severity weeks later.

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·May 30, 2024·3 min read

OpenAI Introduces ChatGPT Edu, Revolutionizing Higher Education

ChatGPT Edu, powered by GPT-4o, is designed for universities to responsibly integrate AI into academic and campus operations.

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·May 6, 2024·6 min read

AI Outperforms Humans in Moral Judgments

People often view AI-generated answers to ethical questions as superior to those from humans. In the study, participants rated responses from AI and humans without knowing the source, and overwhelmingly favored the AI’s responses in terms of virtuousness, intelligence, and trustworthiness.

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·April 14, 2024·5 min read

Social Media Fuels Eating Disorder Echo Chambers

A new study investigates the role of social media in exacerbating eating disorders among users. Researchers used machine learning to analyze millions of tweets, uncovering a troubling cycle where harmful content related to eating disorders is easily accessible and often intertwined with regular diet discussions.

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·April 13, 2024·6 min read

Reducing Toxic AI Responses

Researchers developed a new machine learning technique to improve red-teaming, a process used to test AI models for safety by identifying prompts that trigger toxic responses. By employing a curiosity-driven exploration method, their approach encourages a red-team model to generate diverse and novel prompts that reveal potential weaknesses in AI systems.