The paper proposes psychological audits, built on three disciplinary lenses and 12 components covering model characteristics, stakeholder communication, and meta-considerations like cultural context, as a standardized way to evaluate fairness and bias in AI systems that predict human behavior.

Auditing the AI Auditors: A Framework for Evaluating Fairness and Bias in High Stakes AI Predictive Models

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This systematic review and meta-analysis of observational studies demonstrates that the impact of psychotropic medications on suicide-related outcomes varies significantly across different psychiatric diagnoses.

Effect of psychotropic medications on suicide-related outcomes: a systematic review and meta-analysis of observational studies

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Two leading therapies (CAMS and DBT) are proven by rigorous clinical trials to effectively reduce suicidal thoughts and behaviors.

The use of CAMS and DBT to effectively treat patients who are suicidal

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Discover a practical five-pillar framework that synthesizes major clinical codes of ethics with global AI guidelines to help mental health professionals confidently navigate the uncharted ethical terrain of generative AI! 🧠🤖✨

Ethical Decision-Making Guidelines for Mental Health Clinicians in the Artificial Intelligence (AI) Era

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@xfinitysucks.bsky.social Xfinity Mobile fraudulently charged my credit card for a phone and a phone line that I did not order. I did not request the device, authorize the line, or consent to any change to my account. The charges appeared without notice and without any action on my part.

This article identifies ethical principles psychologists should consider when deciding whether to address their patients’ prejudicial comments in psychotherapy. It also provides an intervention strategy for addressing patients’ prejudicial comments.

Prejudiced Patients: Ethical Considerations for Addressing Patients’ Prejudicial Comments in Psychotherapy

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Therapist positionality—how intersecting identities like race, gender, and class shape clinical relationships—is essential to antiracist practice, yet often overlooked in training; this article offers strategies for reflexivity, cultural humility, and accountability.

Therapist Positionality: A Cornerstone of Antiracist Clinical Practice

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It's me on the podcast. Full podcast is here. AI and psychology.

Think First, AI Second: Why Human Judgment Still Matters in Psychology

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This study describes the development of a novel ethical decision-making tool for use in training clinical psychology graduate students. The study shows that the tool helps trainees improve their analysis of complex ethical dilemmas that arise in clinical practice.

Development and Efficacy of an Ethical Decision-Making Tool for Training Clinical Psychologists

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The Democratic Party’s mega-donor class is horrified by the rising tide of progressive populism. Too bad. It's time they recognize the real choice is between democracy and tyranny, between an economy that works for all or one that works for a small sliver at the top.

This new framework provides forensic experts with a four-step guide for ethically integrating generative AI into their practice while maintaining rigorous standards for admissibility and credibility.

Practical Frameworks for Integrating Artificial Intelligence in Forensic Psychology

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This article offers a practical framework for training psychologists to address power, privilege, and intersectionality in therapy, emphasizing that such deliberate work is essential for enhancing clinical outcomes and deepening understanding of structural oppression.

Privilege in the room: Training future psychologists to work with power, privilege, and intersectionality within the therapeutic relationship.

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My article: The SHAPE model gives clinicians a fast, practical framework for navigating complex ethical dilemmas—preventing reliance on intuition alone and reducing clinical errors to ensure high-quality client care. #ethics #decisionmaking #psychology #psychotherapy

The SHAPE Model: A Metacognitive Framework for Ethical Decision-Making

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This comprehensive review serves as a practical reference guide for clinicians by mapping professional guidelines onto AI-assisted supervision, while thoughtfully highlighting both the impact on the supervisory working alliance and the current literature's empirical limitations.

An AI Perspective on Counseling Supervision

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A new systematic review highlights how AI and Natural Language Processing are transforming clinical psychology and digital mental health by boosting efficiency and personalization, while emphasizing the critical need for strict ethical standards and human oversight.

The Role of Artificial Intelligence in Clinical Psychology: How AI and NLP Systems Are Reshaping Psychological Interventions. A Systematic Review

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While AI offers administrative and diagnostic boosts in psychological practice, overuse risks quietly eroding clinicians' critical reasoning, ethical autonomy, and overall wellbeing if safeguards aren't established.

The unintended negative consequences of artificial intelligence use for psychologists

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This narrative review provides a vital clinical vocabulary for "AI psychosis"—showing how engaging, general-purpose AI tools can amplify patient delusions and why clinicians must screen for these risks in both therapy and supervision.

AI in Psychotherapy: Opportunities and Risks

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New research suggests AI language models fall short of human brain activity on emotional and physical common sense, but while targeted fine-tuning helps narrow the gap, predicting brain signals isn't the same as truly understanding like a human.

Divergences between Language Models and Human Brains

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We need transparency, independent evaluations, and safety standards benchmarked against real clinical care over realistic timescales; not just single-prompt evaluations.

Specialized or General-Purpose—The Wrong Question for Mental Health AI Safety

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AI chatbots designed to please users are markedly more sycophantic than people, affirming users even when their behavior is unethical or harmful. Because users prefer and trust these flattering responses, developers have little incentive to correct a tendency that may discourage accountability.

New research shows closed-loop brain stimulation most effectively boosts memory when precisely targeted to white matter pathways with strong ties to the brain’s memory network, offering a roadmap for optimizing future neuromodulation therapies.

Functional and anatomical connectivity predict brain stimulation's mnemonic effects

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New research shows for the first time that intolerance of uncertainty causally drives indecisiveness. This finding suggests that helping patients tolerate uncertainty could ease chronic decision-making struggles linked to many mental health conditions.

Intolerance of uncertainty causally affects indecisiveness

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We don't want psychologists to lean on AI without deliberate safeguards; therefore, independent judgment must come before AI consultation, AI outputs deserve critical scrutiny, and documentation must stay a reflective practice, not a shortcut. www.ethicalpsychology.com/2026/07/the-...

The Illusion of Competence: How AI Tools Can Mask the Erosion of Clinical Judgment

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A small 2026 Nature Medicine study found that general-purpose chatbots outperformed specialized clinical AI tools—which did no better than Google's free AI summaries—suggesting doctor-branded AI may not be worth its cost. @openevidence.bsky.social disputes these findings.

General-purpose large language models outperform specialized clinical AI tools on medical benchmarks

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Pope Leo XIV's recent encyclical wasn't written for psychologists, but it offers a philosophical anchor for evaluating AI in clinical work. The core argument: efficiency should never override the dignity of the person or the primacy of the relationship.

Magnifica Humanitas: Human Dignity, Artificial Intelligence, and the Essence of Psychological Practice

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AI language models best predict brain activity in regions that respond to meaning consistently across text, words, and images, even non-language areas, hinting they capture concept-level meaning, not just words. Small sample (n=17) and correlational, not causal.

Language models align with brain regions that represent concepts across modalities

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This study examines how AI advice affects human decision-making. Through an incentivized experiment, it found that people tend to overrely on AI recommendations—even when the advice contradicts contextual information and their own judgment. No one is recommending blind trust in AI outputs.

Trust and reliance on AI: An experimental study on the extent and costs of overreliance on AI

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This small study found that GPT-4 can generate psychodynamic reports for relationship issues that experts and clients rate as insightful and comparable to human-quality work, with low risk of harmful errors. Human oversight remains essential.

GPT-4 generated psychological reports in psychodynamic perspective

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Automation bias in medicine leads clinicians to over-rely on AI recommendations—even when they’re wrong—causing potential patient harm, and the authors argue that keeping humans “in the loop” isn’t enough without better training, higher safety standards, and truly interpretable AI.

Automation bias and assistive AI.

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This review examines how large language models are transforming psychological research across multiple subfields by offering new tools for tasks like literature reviews, hypothesis generation, & data analysis, while emphasizing ethical challenges such as data privacy & responsible use.

Exploring the frontiers of LLMs in psychological applications: a comprehensive review.

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