Category: Artificial Intelligence

Transforming Governance through AI

Source of the image: Generated through AI by the author

Artificial intelligence (AI) technologies have the potential to transform governance and bring about a paradigm shift in citizen-centric delivery of services. Imagine a student applying for college admissions. Instead of separately applying for numerous universities and colleges with the need for filling multiple applications with repetitive data each time, an AI-driven system would proactively collate the basic demographic information about the student and suggest the probable list of colleges based on his/her score in the qualifying examination. It would even fill out a common application form for admission to various institutions and automatically apply for various scholarships for which the student might be eligible based on demographic and income criteria. At the other end, the selection and allotment of seats by the universities and colleges would become much easier and faster with the AI-driven system seamlessly sorting the preferences, allocating seats and awarding eligible scholarships to each student. The above system can easily be operated at the state and national levels. The resultant savings in time, cost and efforts for all the stakeholders would be enormous.

The above vision of an AI-driven and proactive governance can easily be replicated in many other domains, e.g., health care, agriculture, crime detection and prevention, cyber security, etc. In health care, AI can help in much faster diagnosis and detection of diseases through analysis of scans, etc. enabling better treatment, remote care, and substantial savings in time and cost for the patients and hospitals. Similarly, predictive data analytics can provide deep insights into patterns of crime and suggest more effective prevention strategies through proactive policing. AI algorithms can analyse traffic flow patterns and suggest better route planning and optimization to reduce congestion. AI-enabled chatbots can provide very specific and contextualized responses in multiple languages to queries from citizens and even deliver a wide range of citizen-centric services, e.g., access to various certificates, education and medical records, etc. They can become invaluable tools in information dissemination and driving citizen engagement.

AI can also enable transformation of the government itself through smarter policy formulation driven by predictive analytics and evidence-based decision making. It can help in formulating proactive strategies and implementing an agile framework for governance.

As outlined above, AI-driven governance can herald a new era of transformation, innovation and efficiency. However, to achieve this vision, the government must take a number of enabling policy initiatives.

First, it must ensure that there are adequate investments in AI focused compute infrastructure and R&D by both the public and private sectors to fuel innovation and development of new applications. Government driven investments in AI infrastructure and R&D will also help in creating a vibrant startup ecosystem in India that can focus on developing AI based applications in various domains.

Second, the government must evolve and put in place a regulatory framework for AI that encourages innovation while at the same time recognizing and mitigating the risks that may be associated with the development and implementation of AI technologies and applications.

Third, the government must enable access to large amounts of anonymized domain datasets which the concerned central ministries and states have built in the course of implementing a very large number of e-governance projects over the past few decades. This will enable the industry and startups to develop and train innovative AI applications for various domains.  

Fourth, the industry must focus on ethical development and deployment of AI applications. This would ensure transparency and accountability in the entire process allowing for identification and mitigation of any biases and promotion of fairness and trust amongst all the stakeholders including the end-users.

Fifth, privacy preserving technologies and stringent data security protocols must be followed in the development and deployment of AI applications. This will help in mitigating any risks of data breaches and cyber frauds. It is also essential that all precautions to ensure cybersecurity in the entire infrastructure and application ecosystem are taken.

Last but not least, skilling for AI to meet the burgeoning needs of the industry is of paramount importance. Our best technical institutions must focus on advanced education and R&D while the industry can focus on targeted training programmes in niche areas to build adequate human resource capacity in AI. While India is a global leader in information technology services, when it comes to government readiness for AI, a recent report by Oxford Insights ranks India at the 40th position out of 193 nations. For making India a global leader in AI, it is the right time to focus on AI-driven governance for transforming the government and reimagining public service delivery.

(The above article appeared in The Economic Times on 28th June, 2024. It is available here: https://economictimes.indiatimes.com/tech/artificial-intelligence/transforming-governance-through-ai/articleshow/111543404.cms?from=mdr. The views are personal.)

Writing the New Rules for AI

Regulating AI

Source: https://www.istockphoto.com/photos/ai-regulation

The launch of ChatGPT in November 2022 heralded a new era in democratizing the use of artificial intelligence (AI). Since then, use of AI has quickly expanded across many sectors, including healthcare, education, financial services, public safety, etc. However, rapidly advancing capabilities of AI have also brought to the fore the criticality of safety and ethical use of these technologies. At the Global Partnership for Artificial Intelligence summit in 2023 in New Delhi, the Hon’ble Prime Minister stressed the importance of creating a global framework for ethical use of AI, including a protocol for testing and deploying high-risk and frontier AI tools. Earlier, at the first global AI Safety Summit 2023 at Bletchley Park, 28 countries gave a call for international cooperation to manage the challenges and risks of AI.

How can a global framework for safe and ethical use of AI be developed? Several countries have initiated efforts to regulate and govern AI. The US government issued an executive order in October 2023, focusing on safe, secure and trustworthy development and use of AI. It seeks to address several critical areas, including national security, consumer protection, privacy, etc. and requires AI developers to share safety results with the US government. EU’s AI Act adopts a risk-based regulatory approach with stricter oversight for higher levels of risk of the AI systems.

At a fundamental level, a global framework for governance of AI must address the key concerns regarding development, deployment and use of AI. These include dealing with machine learning biases and potential discrimination, misinformation, deep fakes, concerns on privacy and access to personal data, copyright protection, potential job losses, and ensuring the safety, transparency and explainability of the AI algorithms.

The goal of AI governance should be to promote innovation and ensure safe, fair and ethical applications of the technology in promising sectors. To address the concerns noted above, the framework for governance of AI must be based on certain core principles, which can be enumerated as below.

Innovation: The governance framework must promote innovation and competition in AI technologies to continuously improve them. This would require, for example, facilitating access to large amounts of anonymized datasets to startups for developing and training AI applications in various domains. The National Data Governance Policy of GoI is an excellent initiative in this direction.

Infrastructure: The framework must also support expanding access to compute infrastructure and AI models to promote competition and encourage innovation. This would particularly be helpful to startups in this domain.

Capacity Building and Engagement: A sustainedfocus on capacity building holds the key to involving and engaging with more stakeholders in the development and deployment of AI across multiple sectors. This can significantly help in managing and reducing the risks. Engaging with stakeholders would also help in addressing any potential job losses and worker displacements due to deployment of AI.

Safety and Risk Management: This would involve development of standards and ensuring that AI models are tested and assessed for safety and risk. Appropriate risk management strategies must be put in place to address any likely harms that may be caused. This would include ensuring transparency, fairness and explainability in the AI development lifecycle through selection of proper training data sets, removing any biases and ensuring that cybersecurity issues have been addressed.

Privacy Protection: AI models must focus on privacy preserving technologies to ensure protection of privacy. This would help in creating trust in these models and enhancing their beneficial impact.

International Cooperation: For any global framework to succeed, international collaboration and partnerships built on a shared vision and common goals are essential. A global framework on AI must build on evidence in this rapidly evolving technology and promote collaboration across all countries to become effective.   India, being a global leader in technology, can play a proactive role in developing a global framework for governance of AI based on the key principles enumerated above. With its huge technology talent base and a rapidly growing economy, India enjoys a unique advantage in the global technology ecosystem, which it can leverage in this direction. We also need to focus on the development of AI applications trained on Indian data sets in various domains, such as agriculture, education, health care, transportation, public safety, etc., which can play a huge role in revolutionising the entire citizen-centric service delivery paradigm and bring efficiency gains at a systemic level across multiple sectors.

(The above article appeared in The Economic Times on January 28, 2024. It is available here: https://economictimes.indiatimes.com/tech/catalysts/writing-the-new-rules-for-ai/articleshow/107192031.cms?from=mdr. The views are personal.)