Data

New AI Disclosure Standard for Film Launched at Cannes Film Market

London-based The Mise En Scène Company has unveiled Human Provenance in Film, a no-cost AI disclosure standard for the film and TV industry, opening consultation at the Cannes Film Market and inviting participation from producers and distributors through to insurers, platforms, and exhibitors, with a deadline of Oct. 31. The standard is offered under a CC BY 4.0 open license – meaning any producer, distributor, or platform can adopt and adapt it freely without fee or permission, provided they credit the source.

Source: New AI Disclosure Standard for Film Launched at Cannes Film Market

Spotify’s Song Library Is a Lot Bigger Than We Thought

Against the backdrop of continued streaming growth – and an avalanche of AI slop – Spotify’s library now contains a staggering 250 million tracks. That eye-popping total came to light during the company’s Q1 2026 earnings call this morning. There’s a lot to unpack in these brief remarks, but one key question jumps out: Is Spotify, which has been almost curiously uninterested in labeling (let alone limiting) AI slop, allowing and capitalizing on “catalog inflation” to bolster its recommendations reach?

Source: Spotify’s Song Library Is a Lot Bigger Than We Thought 

Spotify to show AI tags in Song Credits

Spotify has started testing a feature that shows whether artificial intelligence was used in making a song — but the tags only appear when an artist chooses to add them. The ‘AI Credits’ feature, currently in beta, was quietly disclosed within Spotify’s updated Support page. It shows AI contributions within the song credits section of Spotify’s mobile app. The move comes in response to growing pressure over AI-generated content on streaming platforms.

Source: Spotify to show AI tags in Song Credits

Tuned Global launches streaming manipulation detection tool

Tuned Global, the technology platform used by businesses to power licensed music and audio services, has launched what it calls a Service Manipulation Detection (SMD) system, designed to help streaming platforms and rightsholders identify and act on that activity. The offering, announced on Tuesday (April 21), monitors for manipulation tactics including bot usage, click farms, scripted listening and coordinated repeat plays – all of which can distort play counts, chart positions and royalty allocations.

Source: Tuned Global launches streaming manipulation detection tool 

EU study examines music discoverability on streaming services

While the research found that “exposure is still concentrated around superstar artists” there were some bright spots. “Younger listeners emerge as key drivers of diversity, showing greater openness to new genres and emerging artists”. The report identifies some big challenges too. A mountain of new releases – “worsened by streaming fraud and the rapid proliferation of AI-generated music”.

Source: EU study examines music discoverability on streaming services

UK publishers urge CMA to curb Google

News publishers have disputed a claim from Google that using their content to “fine-tune” its AI models contains “no realistic prospect of harm” to them. Google told the UK’s Competition and Markets Authority that there is “no realistic prospect of harm to publishers in respect of training/fine-tuning of AI models for search and search generative AI features. “Fine-tuning helps the model learn how to process information rather than what current information to display.”

Source: UK publishers urge CMA to curb Google

Do links hurt news publishers on Twitter? Our analysis suggests yes

The report found that Twitter drove little traffic to most news sites, generating only around 1.5% of most publishers’ traffic. But, the authors wrote, “Twitter excels at both conversational and breaking news…Though Twitter may not be a huge overall source of traffic to news websites relative to Facebook and Google, it serves a unique place in the link economy. News really does ‘start’ on Twitter.”

Source: Do links hurt news publishers on Twitter? Our analysis suggests yes

How Accurate Are Google’s A.I. Overviews?

A recent analysis of AI Overviews found that they were accurate approximately nine out of 10 times. But with Google processing more than five trillion searches a year, this means that it provides tens of millions of erroneous answers every hour (or hundreds of thousands of inaccuracies every minute), according to an analysis done by an A.I. start-up called Oumi.

Source: How Accurate Are Google’s A.I. Overviews?

Thousands of people are selling their identities to train AI – but at what cost?

These gig AI trainers – who upload everything from scenes around them to photos, videos and audio of themselves – are at the frontlines of a new global data gold rush. As Silicon Valley’s hunger for high-quality, human-grade data outpaces what can be scraped from the open internet, a thriving industry of data marketplaces has emerged to bridge the gap. From Cape Town to Chicago, thousands of people are now micro-licensing their biometric identities and intimate data to train the next generation of AI.

Source: Thousands of people are selling their identities to train AI – but at what cost?

Copyright maximalism will stifle a research-intensive digital economy

As this recent report highlights, more than 1,000,000 UK businesses use machine learning but, contrary to the hype, most will not be using GenAI models and virtually none creating music.In the modern world, where everything we do with online material involves a copy being made of it by a computer and its network, how we define the scope of copyright law has major consequences for our ability to harness the full potential of digital technologies. 

Source: Copyright maximalism will stifle a research-intensive digital economy

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