AI: The source and solution to India’s Information Governance Quandary
- • The ever-growing influence of generative AI technologies is intensifying the existing problem of information overload.
- India’s rapid digitization through the India Stack initiative is expected to make them one of the biggest data consumers globally by 2028.
- While data is crucial for decision-making, innovation, and business success in the digital age, the vast amount, speed of generation, and variety of data creates significant challenges for managing compliance, safety, and security.
- Ironically, AI, particularly generative AI, offers promising solutions for making data management more accurate, efficient, and adaptable despite being a key driver of information creation.
- Generative AI boasts remarkable capabilities that can bridge the gap between the physical and digital worlds.
- It empowers organizations to develop customized solutions that address their specific needs and situations.
- Government agencies in India have already begun utilizing AI in various ways, including chatbots, social media monitoring, and predictive policy analysis.
- Generative AI’s ability to analyze massive datasets, mimic human-like reasoning, and adjust to evolving situations presents exciting possibilities for organizations seeking to innovate and improve efficiency.
- While India is actively embracing the AI revolution, there’s an even greater opportunity in establishing compliant and secure data governance frameworks.
- Currently, India lacks comprehensive and universal data protection and AI governance laws, but there’s a positive shift towards addressing this.
- Microsoft’s recent “Governing AI, a blueprint for India” proposes a five-point approach to accelerate AI governance development.
- This, along with other contributions, focuses on building safe, secure, and transparent AI systems for societal benefit.
- A new era of working norms is on the horizon.
- Collaboration between businesses, government, and citizens is needed to establish a robust set of practices.
