OpenAI and Google’s Data Use Strategies Spark Debate in AI Development
The New York Times exposes the methodology utilized by OpenAI to amass millions of hours of YouTube video transcripts for generating the vast data required of their powerful AI model GPT-4. While it may appear that these companies are following the same path, forming a queue led by the giants Google and Meta, the route is gaining pace as AI technologies get upgraded. All of this leads to the question of the “digital divide” and what impact it has on the individual’s capability to participate in the economy, specifically on issues like copyright and ethics of data.
OpenAI’s bold data acquisition tactics
OpenAI spotted and analyzed this YouTube content. This strategy, despite the innovative nature of free-skirted use, touches upon the principles of fair utilization, which is the precondition of possibility for this company. Recording YouTube videos, one of the stages owned by Google for the AI learning process brings into play concerns over copyright violation and the ethical issues involved in data usage without an author’s consent.
Funny enough, after Google came under fire as the company that owns YouTube for the same thing, they allegedly engaged in such practices for their AI models. This shared snooping process is clearly a fancy part of the report, which further reveals the confusing ethical and legal boundaries of tech companies in their artificial intelligence efforts. On the other hand, Google has mentioned that they can get the creator’s permission to use videos before training an AI system on that data, eventually being a point of contention in the narrative.
The privacy policy revision
One of the main events of this was Google, a corporate measure to change their privacy policy by the end of June 2023. The strategy was thus aimed at deepening the company’s abilities to capitalize on publicly accessible data sources, ranging from Google documents to Google Maps reviews, for reinforcing AI-led innovation. This indicates a wider tech sector phenomenon where these Big Tech companies breathe leadership in both the innovation and user privacy fields as they struggle to address the right balance of both.
It is now with these tech giants that OpenAI and Google’s revelation of their practices of gathering data without explicit consent raises questions concerning the course of AI growth and the ethical use of data. Neil Mohan, YouTube CEO, was quoted by Bloomberg on this topic, and he said the platform does not permit downloads of these unauthorized sources.
Industry and legal implications
The question of the morality and legality of these data-scraping endeavors is then raised because of the ambiguity. Another area for improvement lies with plagiarism problems, as these approaches may be creative but also ignite copyright issues. Privacy issues are also a concern in this industry. However, the reach of these bugs is not only limited to legal and ethical problems but goes well beyond that. From the abundance, they call attention to a more significant technology (AI technology) race, which is aimed at using data to power up AI advancements.
As the pioneers of AI technology like OpenAI and Google tend to advance the scope of the next AI paradigm, the debate around what amounts of data can be used, what the considerations for copyright protection are, and the huge societal implications of AI applications widen. Mixing innovation with ethics leads to a more complex picture, requiring the development of principles of regulation and clear policies.
The workings of OpenAI and Google in taking YouTube videos for training purposes give rise to the multi-dimensional issue of the subjective nature that consists of legal, ethical, and technological dimensions. Therefore, the tech sector is in constant face of challenges like innovation, privacy, and ethics, without which continued growth cannot be assured. The discussion regarding these issues will continue. Still, it will also extend to every stakeholder in society, from legal specialists to AI developers themselves, to eventually come up with a proposed solution.
Original Story From https://www.neowin.net/news/google-reportedly-let-openai-transcribe-a-million-hours-of-youtube-videos-to-train-gpt-4/
Read More
OpenAI and Google’s Data Use Strategies Spark Debate in AI Development
The New York Times exposes the methodology utilized by OpenAI to amass millions of hours of YouTube video transcripts for generating the vast data required of their powerful AI model GPT-4. While it may appear that these companies are following the same path, forming a queue led by the giants Google and Meta, the route is gaining pace as AI technologies get upgraded. All of this leads to the question of the “digital divide” and what impact it has on the individual’s capability to participate in the economy, specifically on issues like copyright and ethics of data.
OpenAI’s bold data acquisition tactics
OpenAI spotted and analyzed this YouTube content. This strategy, despite the innovative nature of free-skirted use, touches upon the principles of fair utilization, which is the precondition of possibility for this company. Recording YouTube videos, one of the stages owned by Google for the AI learning process brings into play concerns over copyright violation and the ethical issues involved in data usage without an author’s consent.
Funny enough, after Google came under fire as the company that owns YouTube for the same thing, they allegedly engaged in such practices for their AI models. This shared snooping process is clearly a fancy part of the report, which further reveals the confusing ethical and legal boundaries of tech companies in their artificial intelligence efforts. On the other hand, Google has mentioned that they can get the creator’s permission to use videos before training an AI system on that data, eventually being a point of contention in the narrative.
The privacy policy revision
One of the main events of this was Google, a corporate measure to change their privacy policy by the end of June 2023. The strategy was thus aimed at deepening the company’s abilities to capitalize on publicly accessible data sources, ranging from Google documents to Google Maps reviews, for reinforcing AI-led innovation. This indicates a wider tech sector phenomenon where these Big Tech companies breathe leadership in both the innovation and user privacy fields as they struggle to address the right balance of both.
It is now with these tech giants that OpenAI and Google’s revelation of their practices of gathering data without explicit consent raises questions concerning the course of AI growth and the ethical use of data. Neil Mohan, YouTube CEO, was quoted by Bloomberg on this topic, and he said the platform does not permit downloads of these unauthorized sources.
Industry and legal implications
The question of the morality and legality of these data-scraping endeavors is then raised because of the ambiguity. Another area for improvement lies with plagiarism problems, as these approaches may be creative but also ignite copyright issues. Privacy issues are also a concern in this industry. However, the reach of these bugs is not only limited to legal and ethical problems but goes well beyond that. From the abundance, they call attention to a more significant technology (AI technology) race, which is aimed at using data to power up AI advancements.
As the pioneers of AI technology like OpenAI and Google tend to advance the scope of the next AI paradigm, the debate around what amounts of data can be used, what the considerations for copyright protection are, and the huge societal implications of AI applications widen. Mixing innovation with ethics leads to a more complex picture, requiring the development of principles of regulation and clear policies.
The workings of OpenAI and Google in taking YouTube videos for training purposes give rise to the multi-dimensional issue of the subjective nature that consists of legal, ethical, and technological dimensions. Therefore, the tech sector is in constant face of challenges like innovation, privacy, and ethics, without which continued growth cannot be assured. The discussion regarding these issues will continue. Still, it will also extend to every stakeholder in society, from legal specialists to AI developers themselves, to eventually come up with a proposed solution.
Original Story From https://www.neowin.net/news/google-reportedly-let-openai-transcribe-a-million-hours-of-youtube-videos-to-train-gpt-4/
Read More