Ranks distinct AI gain and problem claims from the published record. Scores reward impact, independent source strength, scale, confidence, and recency.
Published July 6 2026, this law review article argues that Section 230 and the First Amendment do not categorically immunize digital platforms for harms caused by their own design choices. It proposes a typology separating direct primary harms from design decisions from secondary harms from user content and tertiary harms, focusing on personal-data-driven algorithmic targeting and dark patterns like infinite scrolling.
Researchers analyzed 593 tasks across 126 occupations in the cultural and creative industries using GPT-4 generated synthetic annotations of Australian Skills Classification descriptions. They measured cognitive and behavioural rules and estimated AI autonomy feasibility and efficiency potential to map where human, AI, or hybrid carriers fit.
Researchers developed and validated an interpretable machine learning model to predict 5-year all-cause mortality in non-dialysis chronic kidney disease using data from 1,858 patients in the KNOW-CKD prospective cohort, with 94 deaths observed. The CatBoost model achieved AUC 0.813 versus 0.747 for logistic regression, and a simplified version using age, eGFR, albumin, urine protein-to-creatinine ratio, and total calcium retained AUC 0.795 in an external cohort of 348 patients.
On August 7, 2026, JAMA Health Forum published a Special Communication proposing that artificial intelligence tools could support implementation of health care policies, using Medicaid work requirements under the Budget Reconciliation Act of 2025 as an example. The authors describe AI executing processes like generating eligibility screening tools, reviewing documentation, and linking data for compliance indicators, plus identifying at-risk individuals and monitoring implementation.
Published December 12, 2025 as a peer-reviewed review, the article synthesizes how AI and bioinformatics are being applied across pharmaceutical R&D, from target identification to clinical use. It highlights advances in deep learning, graph networks, transformers, foundation models, and tools like AlphaFold, RFdiffusion, and AlphaFold3, reporting observed capabilities such as large-scale structure prediction and workflow compression from five years to 12-18 months.
Researchers conducted action research on the development and deployment of an AI system to process traffic violation appeals at a Dutch court, using interviews, observations, documents and a user-experiment to compare decisions made by, with and without the system.
In a study published June 22, 2024, two hip preservation surgeons graded ChatGPT 3.5 answers to ten common hip arthroscopy questions drawn from patient education sites, using an A-to-D scale and readability scores FRES and FKGL.
This peer-reviewed paper examines ethical implications of applying artificial intelligence to Indigenous musical heritage of the Mijikenda communities on Kenya's coast. It finds a divergence between AI's extractive logic and holistic Indigenous Knowledge Systems, with risks of decontextualising sacred practices and infringing data sovereignty.
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