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The Index recomputed live from the record

What the evidence says.What the public feels.

The record holds 939 sourced gains and 772 sourced problems, averaging 68 and 66 on the index score. Readers have logged 22 public signals on the Pulse, which is kept apart and never counted as evidence.

939 gains
772 problems
Every sourced claim in the Index, one square each, shaded by the strength of its evidence. High Moderate Emerging

Ranks distinct AI gain and problem claims from the published record. Scores reward impact, independent source strength, scale, confidence, and recency.

1,711 results
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AI gains · 939

525
Media & ArtsStableModerate evidence · 1 source

Personalized GPT-4 writing suggestions often aligned more closely with participating writers’ styles and helped some writers develop ideas, maintain their writing flow and reduce the work required to revise mismatched suggestions.

A mixed-methods study examined how 19 professional writers and 30 avid readers understood authenticity in writing produced with AI assistance. Writers completed short writing tasks using both personalized and non-personalized GPT-4 suggestions, while readers evaluated passages written independently or with either form of AI support.

Impact 30%
49
Evidence 25%
95
Scale 20%
35
Confidence 15%
87
Recency 10%
87

Updated Aug 8, 2026 · TRV-2026-0692

67Index score
526
Media & ArtsStableModerate evidence · 1 source

AI integration in newsrooms increases efficiency and productivity in news generation and supports journalists in data mining and craft improvement.

By June 2026, a peer-reviewed paper analyzed how AI and AIGC are being integrated into newsrooms, from data mining to co-creation of news products, increasing efficiency and output volume while prompting questions about human professionalism and editorial control.

Impact 30%
49
Evidence 25%
95
Scale 20%
35
Confidence 15%
87
Recency 10%
87

Updated Aug 8, 2026 · TRV-2026-0697

67Index score
527
Media & ArtsStableModerate evidence · 1 source

In a Swiss survey experiment, readers judged AI-assisted and fully AI-generated news excerpts as comparable to human-written excerpts on credibility, readability and expertise, and reported higher immediate willingness to keep reading after AI involvement was disclosed.

A preregistered survey experiment in German-speaking Switzerland with 599 participants tested how audiences perceive news excerpts described as human-written, AI-assisted, or fully AI-generated. Participants first rated quality without knowing the production method, then learned how their excerpts were produced and reported engagement intentions.

Impact 30%
49
Evidence 25%
95
Scale 20%
35
Confidence 15%
87
Recency 10%
87

Updated Aug 8, 2026 · TRV-2026-0696

67Index score
528
PolicyStableModerate evidence · 1 source

State regulators and courts retain discretion to regulate platform design and engineering decisions as content-agnostic conduct not categorically immunized by Section 230 or the First Amendment.

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.

Impact 30%
49
Evidence 25%
95
Scale 20%
35
Confidence 15%
87
Recency 10%
87

Updated Aug 8, 2026 · TRV-2026-0695

67Index score

AI problems · 772

525
LifestyleStableModerate evidence · 1 source

People developing emotional entanglement with large language models and holding ceremonial weddings with AI personas reflects a broader transformation in the social organization of intimacy

As of its publication on 2026-05-30, this peer-reviewed paper introduced the 'Synthetic Lovers' framework to categorize artificial intimacy into digital, synthetic, and virtual forms. It analyzed contemporary cases such as emotional entanglement with large language models and ceremonial weddings with AI personas, arguing these are not anomalies but symptoms of change in how intimacy is organized

Impact 30%
49
Evidence 25%
95
Scale 20%
35
Confidence 15%
87
Recency 10%
82

Updated Jul 13, 2026 · TRV-2026-0176

67Index score
526
PolicyStableModerate evidence · 1 source

Unauthorised deepfakes cause disinformation, demeaning non-consensual pornographic content, and displacement of creative workers, which the current UK legal patchwork does not adequately address.

A March 2026 peer-reviewed paper in The Journal of World Intellectual Property asks whether deepfakes, digital replicas and human digital twins justify personality rights in the UK. It catalogues harms from unauthorised deepfakes, including spreading misinformation, non-consensual pornographic content, and displacing creative workers, and argues the existing patchwork of passing off, IP, defamation and criminal law is inadequate.

Impact 30%
49
Evidence 25%
95
Scale 20%
35
Confidence 15%
87
Recency 10%
82

Updated Jul 13, 2026 · TRV-2026-0175

67Index score
527
LaborStableModerate evidence · 1 source

Generative AI threatens meaningfulness of creative work through deskilling, erosion of autonomy, worker isolation, and increased professional precarity.

This peer-reviewed paper examines how recent advances in Generative AI are transforming creative industries by affecting the meaningfulness of work. It applies a framework covering task integrity, skill cultivation, task significance, autonomy, and belongingness to specialist, embedded, and support creatives.

Impact 30%
49
Evidence 25%
95
Scale 20%
35
Confidence 15%
87
Recency 10%
82

Updated Jul 13, 2026 · TRV-2026-0174

67Index score
528
LaborStableModerate evidence · 1 source

AI use in workforce analytics introduces substantive risks including algorithmic opacity, automation bias, proxy-based discrimination, and employee surveillance.

A peer-reviewed study published May 16, 2026 developed and validated a Triple-Intelligence Framework for workforce analytics that combines AI intelligence for pattern detection, human intelligence for interpretation and ethics, and organizational intelligence for governance, based on a 2017-2025 literature review.

Impact 30%
49
Evidence 25%
95
Scale 20%
35
Confidence 15%
87
Recency 10%
82

Updated Jul 13, 2026 · TRV-2026-0173

67Index score

Recomputed live from the record · Oct 13, 2026, 5:26 PM