iWorld
Creators and performers demand creative rights in AI proliferation globally
Mumbai: Leading global organisations representing artists, creators and performers have issued a powerful and united call for global solutions that compel Artificial Intelligence (AI) companies to responsibly compensate creators for their works that “are exploited”. This resounding demand aims to regulate generative AI technologies and protect the copyrights of musicians worldwide against unauthorised use by AI systems.
The cultural sector and international creative community will be among those most impacted by unbridled development and the open use of generative AI models. Policymakers around the world have heard from creators and performers whose works and performances are being used to train AI without their authorisation, remuneration, or even recognition, often under the guise of “research”. There is furthermore a general, societal sense of unease around AI-generated works and the deception of passing off AI works as works of human creativity.
In an open letter addressed to governments and policymakers, prominent bodies such as the International Confederation of Societies of Authors and Composers (CISAC), Latin American Composer and Songwriter Alliance (ALCAM), Asia-Pacific Music Creators Alliance AEPO-ARTIS (APMA), African Music Academy (AMA) and the International Council of Music Creators (CIAM) among other organisations representing over six million artists, creators, performers and publishers globally, have outlined seven essential principles to ensure the ethical implementation of artificial intelligence, especially generative AI. The key principles highlighted in the letter are as follows:
1. Creators’ and performers’ rights must be upheld and protected when exploited by AI systems
AI systems analyse, scrape and exploit vast amounts of data, typically without authorisation. These datasets consist of musical, literary, visual and audiovisual works and performances protected by copyright. Those copyrighted works and datasets have value, and creators and performers should be in a position to authorise or prohibit the exploitation of their works and performances and be compensated for such uses.
2. Licensing should be enabled and supported
Licensing solutions should be available for all potential exploitation of copyright works, performances and data by AI systems. This would encourage open exchanges between innovators who require the data, and creators and performers who wish to understand how and to what extent their works will be used.
3. Exceptions for text and data mining which do not provide for effective opt-out by rightsholders should be avoided
The introduction of exceptions, including for text and data mining (TDM), that permit AI systems to exploit copyright works and performances without authorisation or remuneration must be avoided. Some existing exceptions should be clarified, in order to provide legal certainty for creators of the underlying data and performers, as well as for AI systems wishing to benefit from such data.
4. Credit should be given
Creators and performers must be entitled to obtain recognition and credit when their works and performances have been exploited by AI systems.
5. Transparency obligations should apply to ensure fairer AI practices
Legal obligations relating to disclosure of information should apply. These should cover (i) disclosure of information on the use of creative works and performances by AI systems, in a sufficient manner to allow traceability and licensing (ii) identification of works and performances generated by AI systems, as such. This will ensure a fair approach towards creators, performers and consumers of creative content.
6. Legal responsibility for AI operators
There should be legal requirements for AI companies to keep relevant records. There should also be effective accountability for AI operators for activities and outputs that infringe the rights of creators, performers and rightsholders.
7. AI is only an instrument in the service of human creativity, and international legal understandings should reinforce this
AI models should be considered as simply an instrument at the service of human creativity. While there is a spectrum of possible levels of interactions between humans and AI to consider when defining the protectability of works and performances, policymakers should make clear that fully autonomous AI-generated works cannot benefit from the same level of protection as human-created works. This topic should be an urgent priority and global discussions should be initiated rapidly.
The cultural sector and international creative community acknowledge the valuable purposes for which AI is currently being applied. However, in the case of generative AI, it is vital for policymakers worldwide to act, adapt and enhance existing regulatory regimes. Crucially, the cultural sector and international creative community must have a seat at the table during those policy discussions to ensure their interests are duly incorporated, and AI systems are transparent, ethical, fair and lawful.
Gaming
Bluestone FY26 revenue rises to Rs 2,436 crore, turns profitable
Q4 profit at Rs 31 crore, full-year profit at Rs 13 crore vs loss last year.
MUMBAI: From sparkle to numbers, Bluestone seems to be polishing more than just jewellery this year. Bluestone Jewellery and Lifestyle Limited reported a sharp turnaround in FY26, with revenue from operations rising to Rs 2,436 crore (Rs 24,364 million), up from Rs 1,770 crore (Rs 17,700 million) in FY25. The company posted a full-year profit of Rs 13 crore (Rs 131.79 million), a significant recovery from a loss of Rs 222 crore (Rs 2,218 million) a year ago.
Total income for the year stood at Rs 2,486 crore (Rs 24,860 million), compared to Rs 1,830 crore (Rs 18,300 million) in the previous year, reflecting both topline growth and improved operational momentum.
The March quarter, however, told a more nuanced story. Revenue from operations came in at Rs 681 crore (Rs 6,814 million), down from Rs 748 crore (Rs 7,486 million) in the year-ago period, though higher than Rs 461 crore (Rs 4,613 million) in the preceding December quarter. Net profit for Q4 stood at Rs 31 crore (Rs 311.81 million), compared to Rs 68 crore (Rs 688 million) a year earlier, but a clear reversal from a loss of Rs 51 crore (Rs 512 million) in Q3.
Margins were shaped by higher input costs, with raw material consumption rising to Rs 2,204 crore (Rs 22,043 million) for the full year, alongside employee benefit expenses of Rs 282 crore (Rs 2,824 million) and finance costs of Rs 210 crore (Rs 2,104 million). Other expenses came in at Rs 371 crore (Rs 3,715 million), slightly lower than Rs 393 crore (Rs 3,938 million) in FY25.
On the balance sheet front, total assets expanded to Rs 4,961 crore (Rs 49,610 million) as of March 31, 2026, from Rs 3,532 crore (Rs 35,322 million) a year earlier, driven largely by a surge in inventories to Rs 2,672 crore (Rs 26,718 million). Equity also strengthened to Rs 1,803 crore (Rs 18,030 million), nearly doubling from Rs 911 crore (Rs 9,107 million).
Cash flows reflected the cost of growth. Net cash used in operating activities stood at Rs 199 crore (Rs 1,990 million), while investing activities saw an outflow of Rs 239 crore (Rs 2,392 million). Financing activities, however, generated Rs 497 crore (Rs 4,971 million), helping the company end the year with cash and cash equivalents of Rs 108 crore (Rs 1,075 million), up from Rs 49 crore (Rs 487 million).
Earnings per share for FY26 came in at Rs 1.10, a sharp improvement from a negative Rs 79.74 in FY25, underlining the shift from losses to profitability.
With revenue scaling up, costs still glittering on the higher side, and profitability finally back in the black, BlueStone’s FY26 performance suggests a business mid-transition less about shine alone, and more about sustaining it.








