The article argues that an open-source approach to artificial intelligence is essential for ensuring transparency, ethical evaluation, and collective security. By enabling the community to examine and use AI models, it democratizes technological development and mitigates risks such as misinformation, fostering greater digital literacy that helps users distinguish between real content and AI-generated content. The accessibility of these tools transforms their impact on the labor market, acting as a complement that eliminates tedious tasks in fields such as programming or journalism, rather than replacing professionals. This human-machine collaboration requires that strategic and creative decision-making remain in human hands, ensuring that AI serves as a means of efficiency and added value without losing the essential contextual judgment. This narrative is relevant to the open data movement because it demonstrates that AI is not merely a software product, but a common good that requires public access to its data and code. The stance of keeping technologies in the open domain ensures that technological progress is responsible, inclusive, and subject to collective scrutiny, aligning with the principles of transparency and community collaboration that define the philosophy of open data.
Source: clarin.comPublished on 2023-10-09
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