India Prime Minster wants to develop AI that is without BIAS

By ljdevon // 2025-02-13

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The AI Action Summit, led by Indian Prime Minister Narendra Modi and French President Emmanuel Macron, highlighted the transformative potential of artificial intelligence (AI) when developed without bias. Modi's call for unbiased data sets and open-source AI models reflects a growing global consensus on the need to address the ethical and societal implications of AI. Below, we expound on the benefits of having open-source AI that is engineered without bias, as emphasized in the summit:

1. Fostering global trust in AI systems

Unbiased data sets: While it’s never good to fully trust artificial intelligence, unbiased data sets produce a fairer and more logical outcome that advances knowledge and learning. Modi's emphasis on bias-free data sets is critical to ensuring that AI systems produce fair and equitable outcomes. Biased data can perpetuate discrimination, reinforce stereotypes, and exacerbate social inequalities, promoting political agendas and deceptive narratives by those in charge. By prioritizing unbiased data, AI can be designed to serve all communities equally, fostering trust in its applications.
Transparency and accountability: Open-source AI models allow for greater transparency, enabling researchers, developers, and users to scrutinize algorithms and data sets. This transparency builds trust, as stakeholders can verify that AI systems operate without hidden biases or agendas. The Deep Seek engine, for example, openly displays the thinking and reasoning behind its responses.

2. Democratizing access to AI technology

Leveling the playing field: Open-source AI models, as championed by Modi, democratize access to cutting-edge technology. This is particularly beneficial for the Global South, where proprietary AI models may be financially or logistically out of reach. Open-source alternatives empower developing nations to participate in the AI revolution, reducing the digital divide.
Encouraging innovation: By making AI tools openly available, developers worldwide can build upon existing models, fostering innovation and collaboration. This approach accelerates progress and ensures that AI advancements are not confined to a few tech giants.

3. Integrating local contexts and ecosystems

Cultural and contextual relevance: Modi's focus on integrating local ecosystems into AI development ensures that AI solutions are tailored to the unique needs and contexts of diverse populations. This localization enhances the relevance and effectiveness of AI applications, from healthcare to education.
Empowering local talent: By involving local developers and researchers, open-source AI initiatives can tap into regional expertise and creativity, driving sustainable growth and job creation within communities.

4. Mitigating risks of cybersecurity and sorting out disinformation

Combating deepfakes and disinformation: Modi highlighted the risks posed by AI-generated disinformation and deepfakes. Open-source AI models can be collaboratively improved to detect and mitigate these threats, ensuring that AI is used responsibly and ethically. Determining what is and what isn’t disinformation is critical to the future of AI learning. One person’s “disinformation” might be another person’s inspiration to dig deeper into a given subject.
Strengthening cybersecurity: Open-source frameworks allow for collective problem-solving, enabling the global community to identify and address vulnerabilities in AI systems more effectively.

5. Job creation and economic growth

AI as a job creator: Contrary to fears of job displacement, Modi expressed optimism about AI's potential to create new employment opportunities. Open-source AI can spur entrepreneurship and innovation, leading to the development of new industries and roles. In capitalist economic systems, AI will transform careers, but humans must adapt and take on new roles to remain competitive in the marketplace.
Public-private partnerships: India's plan to develop its own AI tool through public-private collaboration exemplifies how open-source initiatives can drive economic growth while ensuring equitable access to technology.

6. Challenging the global AI arms race

Open-source as a counterbalance: The success of DeepSeek's open-source model R1 demonstrates that open-source AI can compete with proprietary systems in terms of efficiency and affordability. This challenges the dominance of Western tech giants and promotes a more balanced global AI landscape.
Collaboration over competition: Modi's vision encourages international cooperation in AI development, shifting the focus from a competitive "arms race" to a collaborative effort that benefits humanity as a whole.

7. India's strategic investments in AI

Building Infrastructure for the Future: India's $1 billion investment in 10,000 GPUs highlights its commitment to becoming a global AI leader. This infrastructure will support the development of open-source AI models, enabling India to contribute significantly to the global AI ecosystem.
Visionary Leadership: Modi's engagement with global leaders and tech giants, such as Google CEO Sundar Pichai, highlights India's proactive approach to fostering collaboration and innovation in AI. When collaborating with the West, Modi and governments like India’s, must be careful not to allow Western tech companies to engineer false narratives into AI systems - a problem that is subtly damaging current AI systems in the West.

The AI Action Summit showcased the importance of developing AI systems that are equitable, transparent, and free from bias. Modi's vision of democratizing AI through open-source models and unbiased data sets offers a blueprint for a future where technology serves as a force for good. By prioritizing reason, local relevance, and global collaboration, open-source AI can illuminate a path toward a brighter, more honest future, ensuring that the benefits of AI are shared by all, and logic, reason, and basic truths are pursued over deceptive narratives. Sources include: RT.com RT.com Enoch, Brighteon.ai