Sony Music recently sent a letter to hundreds of AI companies demanding to know if they had used their music for training or scraping, and that this represented copyright infringement. While some AI developers are happy to embrace the current Wild West landscape of AI regulation, others have employed responsible best practices from the outset, often being met with resistance from investors and other third parties who insist they will be left behind. IBC365 speaks to one developer advocating the implementation of fair principles from the start.
The training of AI systems has sparked several ethical controversies, particularly concerning copyright, compensation, and fair use. AI models are often trained on vast datasets that include copyrighted material. There is controversy over whether using copyrighted content for training without explicit permission constitutes copyright infringement. Creators argue that their work is used without authorisation, potentially violating their rights.
AI companies and developers can monetise their models by offering AI services or selling generated content, potentially profiting from the uncompensated use of copyrighted material. The benefits of AI systems often do not...
You are not signed in
Only registered users can read the rest of this article.
Paralysing piracy: Industry grapples with growing, industrial-scale theft
Although the broadcast industry has been rife with theft since the early days of cable TV, it now faces piracy at an industrial scale and speed. At IBC2025, a panel of security experts warned that illegal streaming is accelerating in scale, sophistication, and impact.
Henley Festival: Private 5G innovation transforms live production
A private 5G network POC, led by Haivision, saw Henley Festival capture a range of dynamic, ultra-low latency footage for an immersive live experience for music lovers at home.
Context is king: How AI redefines personalised ads
By reading signals such as tone, emotion, and engagement, AI-powered systems can deliver ads that feel timely, relevant, and respectful – but only if brands balance innovation with transparency, cultural nuance, and ethical design.
Life after Tech Papers: What comes next?
As the dust settles on another successful Technical Papers programme, we caught up with two previous winners to hear more about their experiences of the Tech Papers programme and learn what happened to their projects following the show.
AI-powered measurement: Proving ad impact in a fragmented media landscape
AI-powered ad measurement is helping brands navigate complexity, attribute value more accurately, and make smarter, real-time decisions about where to spend. David Howell reports.


.jpg)
