Neural network technologies, designed to reduce the role of humans in working life, have actually increased the value of human labor to date. One area where this problem becomes evident is in working with artificial intelligence (AI). Some candidates who were rejected after completing “testing tasks” for AI instructor positions have expressed concerns that their results may have been used for free to train algorithms.
Such doubts are not accidental, given precedents in other industries where competitions and tests have led to unpaid work for the benefit of companies. This raises questions about the legality of such practices, especially given the new law on recommendation services that requires platforms to disclose information about how user data is used. However, systems that only collect data but do not provide recommendations are not covered by this law.
There is debate about the need to inform users that their data can be used to train neural networks. While some experts believe that such information should be part of the personal data policy, others argue that consent is not required if the data is anonymized and used for research purposes. Regulation in this area is not yet clear and the law does not establish clear criteria for training neural networks for research purposes.
Source: Ferra
I am a professional journalist and content creator with extensive experience writing for news websites. I currently work as an author at Gadget Onus, where I specialize in covering hot news topics. My written pieces have been published on some of the biggest media outlets around the world, including The Guardian and BBC News.
