"Stop Making Sense" - The AI-copyright question is a ticking timebomb only waiting to fully blow off the hats of AI-companies. It has been revealed that upwards of 170,000 books, published in the past 20 years, are being used as training data for generative AI models like LLaMA, BloombergGPT, and GPT-J. These books, part of a dataset called "Books3," include works by renowned authors such as Stephen King, James Patterson, Zadie Smith, and Junot Díaz. The use of copyrighted material in AI training raises concerns about intellectual property rights and the need for regulation. In fact, some argue that AI should be treated as a public good, similar to public libraries, and be run by the public sector.
Hatched by Ulrich Fischer
May 02, 2024
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"Stop Making Sense" - The AI-copyright question is a ticking timebomb only waiting to fully blow off the hats of AI-companies. It has been revealed that upwards of 170,000 books, published in the past 20 years, are being used as training data for generative AI models like LLaMA, BloombergGPT, and GPT-J. These books, part of a dataset called "Books3," include works by renowned authors such as Stephen King, James Patterson, Zadie Smith, and Junot Díaz. The use of copyrighted material in AI training raises concerns about intellectual property rights and the need for regulation. In fact, some argue that AI should be treated as a public good, similar to public libraries, and be run by the public sector.
"Oulalah! - Dimanche S1E17" - Advanced language models, like ChatGPT, are primarily statistical tools that imitate human text generation rather than true intelligences capable of understanding and reasoning about language like humans do. These models reproduce human knowledge with a random component, resulting in impressive and useful outputs when used correctly. They can produce relevant analyses, detect vulnerabilities, and solve intellectual tasks. However, they are still just tools. Like the internet, they are far from being neutral and carry the biases of their training data and developers. They can be used maliciously or irresponsibly. Being powerful yet fallible tools, when connected to the complexity of internet usage, they can give rise to unpredictable events, leading to worries among specialists. Ultimately, it is the usage of AI that is at stake, more than the technology itself.
The common thread between these two articles is the concern about the usage of AI. While the first article focuses on the copyright infringement and potential regulation of AI, the second article delves into the limitations and biases inherent in advanced language models. Both highlight the need to carefully consider the ethical and responsible use of AI.
It is evident that AI technology has the potential to revolutionize various industries and improve our lives significantly. However, it also poses challenges and risks that need to be addressed. To ensure the responsible and beneficial use of AI, here are three actionable pieces of advice:
- 1. Implement robust copyright protection mechanisms: AI companies should prioritize respecting intellectual property rights and ensure that their training data does not infringe upon copyrighted materials. This can be achieved through rigorous content screening and obtaining proper licenses or permissions.
- 2. Develop transparent and unbiased AI models: To mitigate the biases embedded in AI models, developers should strive for transparency and accountability. By openly sharing their training data sources and methodologies, they can invite scrutiny and contribute to fair and unbiased AI systems.
- 3. Foster collaboration between public and private sectors: Considering the potential impact of AI on society, it is crucial to involve the public sector in its governance. Collaboration between governments, regulatory bodies, and AI companies can lead to the establishment of guidelines, standards, and regulations that protect the interests of all stakeholders.
In conclusion, the AI-copyright question and the limitations of advanced language models highlight the importance of responsible and ethical AI usage. By addressing copyright concerns, mitigating biases, and fostering collaboration, we can harness the power of AI while minimizing its risks. As AI continues to evolve, it is imperative to prioritize its responsible development and deployment for the benefit of society as a whole.
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