Regulating AI Part 2 - How the world is doing it and what India can do

India’s regulatory framework for governing Artificial Intelligence (AI) technology is still evolving and in the process of aligning with international standards and best practices. While India has taken steps to address AI governance through initiatives like the National Strategy for Artificial Intelligence and the draft Personal Data Protection Bill, there is still work to be done to catch up with some of the more established frameworks around the world.

When compared to international standards, India’s regulatory framework can be seen as relatively nascent. India needs frameworks that involve the establishment of specialised regulatory bodies and guidelines for the development and deployment of AI systems.

Also read: Regulating AI Part 1: Ground realities, trust & privacy concerns and how to bell the cat

India can learn valuable lessons from the experiences of other countries in shaping its AI regulatory landscape. For instance, the European Union’s General Data Protection Regulation (GDPR) has set a benchmark for data protection and privacy, which India can draw inspiration from to strengthen its own data protection laws. The United States’ approach, focusing on sector-specific regulations and collaborations between the government, industry, and academia, can provide insights into fostering innovation while ensuring responsible AI use.

India can also learn from countries like Singapore and Canada, which have established dedicated AI governance frameworks and regulatory bodies. These countries have adopted proactive approaches to govern AI, focusing on ethical guidelines, risk assessment, and public consultations, which could serve as valuable models for India to emulate.

While India’s regulatory framework for AI technology is progressing, there is scope for improvement to align with international standards and best practices.

Part 2 of this special report will dwell on questions like how does India’s regulatory framework compare to international standards and best practices in governing AI technology? Are there any lessons that can be emulated from other countries’ experiences?

India can draw valuable lessons from international experiences and best practices in governing AI technology, says Pavan Punjabi, Chief Integration Officer, Makani Creatives. He notes, “Countries like Canada, the European Union, and Singapore have adopted comprehensive approaches, emphasizing transparency, accountability, and privacy protection. India can learn from their implementation of sector-specific regulations, cross-sector collaboration, and the establishment of dedicated regulatory bodies.”

With respect to international collaborations, there need to be clear definitions which won’t be possible in the absence of regulatory frameworks, says Gyan Gupta, Product Evangelist, Bada Business. “We need to understand we fit into the international scheme of things and our learnings are not limited to us and there is an exchange of knowledge.”

Gyan Gupta feels that with respect to international collaborations, there need to be clear definitions which won’t be possible in absence of regulatory frameworks. “We need to understand we fit into the international scheme of things and our learnings are not limited to us and there is an exchange of knowledge.”

Shayesta Shahzabeen, Strategy Development & Innovation Lead, BC Web Wise, says that the European Union’s Data Protection Act (GDPR) offers a strong template for India’s regulatory framework for AI.

Obstacles or challenges

India faces certain obstacles or challenges in developing and implementing a comprehensive regulatory framework for AI in India.

First and foremost is technological advancement. AI technology is evolving at a rapid pace, making it challenging for regulatory frameworks to keep up with the latest developments. To overcome this challenge, regulators need to adopt agile and flexible approaches that can accommodate emerging technologies and adapt to changing circumstances. And, developing robust regulations requires a deep understanding of AI technology and its potential implications. Currently, there is a shortage of technical expertise among policymakers and regulators. Bridging this gap can be achieved through collaborations with experts, academia, and industry professionals who can provide insights and guidance in shaping effective regulations.

It is also important to strike a balance between fostering innovation and ensuring responsible use of AI is a complex challenge. It is a fact that excessive regulation may stifle innovation, while insufficient regulation can lead to ethical concerns and potential risks. Finding the right balance requires a comprehensive understanding of the technology, engaging stakeholders in dialogue, and conducting thorough impact assessments to determine appropriate regulations.

According to Shayesta Shahzabeen, every comprehensive framework comes with its challenges when framing the regulations and policies, especially when it is for a new and evolving industry. She lists out them as:

1. Keeping pace with rapidly changing innovation and technology where diverse apps are developed.
2. Like every field in tech there is a specialist, technical specialists in AI who can direct complex issues to AI are still not well known.
3. Awareness about the accessibility of AI solutions to larger India for adoption in their industries is still in the initial stages.
4. Overcoming these challenges with a regulatory framework which is adaptable to sector-specific solutions, trust building from data privacy and algorithmic transparency would help in adoption to the larger public.

Gyan Gupta feels that developing a comprehensive framework is not easy when the technology is rapidly changing; so the biggest challenge is the pace at which this technology is evolving. Putting a framework in place that is ever evolving at a dynamic pace is a huge challenge. Monitoring the constant new changes is a big task, collaboration is a challenge and ensuring that pace is matching that of the new technology advancements. Such rapid changes are also creating a dearth of expertise, understanding how this works and how to put the right people in the right roles to create the framework. Either the framework will be flawed or inefficient which means it will either be a very malleable framework just for the purpose of putting one or it was be too rigid that it will hamper development.

Experts are unanimous in their view that collaboration between experts and policymakers is of paramount importance.

The development and implementation of a comprehensive regulatory framework for AI in India face several challenges, opines Pavan Punjabi. According to him, the rapid pace of technological advancements requires a framework that is flexible and adaptable to accommodate innovation and emerging technologies.

“Collaborative efforts between experts from diverse fields, including AI, legal, ethics, and industry, are crucial to develop informed regulations that address the complex nature of AI. Striking a balance between promoting innovation and ensuring responsible AI deployment is essential to foster growth while mitigating potential risks. Additionally, overcoming resource constraints is crucial, as sufficient funding, infrastructure, and capacity-building efforts are necessary for effective regulation and enforcement. Addressing these challenges will pave the way for a robust and effective regulatory framework for AI in India,” he adds.

Promoting innovation and technological advancement in the field of Artificial Intelligence (AI) is crucial for India’s progress and competitiveness in the global arena. AI has the potential to revolutionize various sectors and bring about significant socio-economic benefits. However, as India embraces AI, it is equally important to strike a balance by implementing adequate safeguards and accountability measures.

Striking a balance

It is also important for India to strike a balance between promoting innovation and technological advancement in AI while ensuring adequate safeguards and accountability measures are in place.

Ensuring adequate safeguards implies the need to address ethical considerations, privacy concerns, and potential risks associated with AI technologies. It involves developing robust regulatory frameworks that encompass data protection, algorithmic transparency, fairness, and accountability. This will help protect individuals’ rights, prevent misuse of AI, and foster public trust in these emerging technologies.

Additionally, accountability measures are essential to hold AI developers, deployers, and users responsible for their actions. Organisations and individuals should be transparent about the AI systems they develop or utilise, ensuring they are used responsibly and without bias. Accountability mechanisms can include audits, third-party assessments, and legal frameworks to ensure compliance with ethical standards and regulations.

Striking a balance between innovation and advancement is a fine art especially when the usage is across sectors and diverse applications, says Gyan Gupta, adding that regulation is needed but not at the cost of innovation and growth. It has to cater to the diversity and its applications.

One of the approaches is for India to develop comprehensive policies and regulations specifically tailored to AI development, deployment, and use, points out Shayesta Shahzabeen. According to her, these policies should address ethical considerations, data privacy, transparency, and accountability. They should be flexible enough to accommodate technological advancements while setting clear boundaries to protect individuals and society.

Developing a regulatory framework that is agile and adaptable to the rapid pace of technological advancements is crucial, says Pavan Punjabi. According to him, this allows for timely updates and adjustments to address emerging challenges and ensure accountability.

“Fostering a collaborative ecosystem among the government, industry, academia, and civil society is vital. By working together, they can establish guidelines and standards that promote responsible AI practices. Implementing sandboxing and pilot programmes can encourage innovation through controlled experimentation while closely monitoring the impact and risks. Lastly, continuous assessment and improvement of regulations are necessary. Regular evaluation, feedback incorporation, and refinement of regulations enable the framework to keep pace with evolving AI technologies and ensure its effectiveness in governing AI advancements,” he says.

The collaborative approach

And the government, industry, academia, and civil society play an important role in shaping and enforcing the regulatory framework for AI in India.

In a complex system of AI where there are different levels of people and companies involved; collaboration and engagement among the stakeholders will shape out a balanced regulatory framework, says Shayesta Shahzabeen.

1. Government plays the central role of formulating and engaging with the stakeholders
2. Industry experts such as AI developers, technology companies, and industry associations should encourage platform for knowledge sharing and experiences to inform the regulatory process
3. Academicians and scholars play a critical role in conducting research on AI technologies, their societal impacts, and potential risks and building solutions together with government and corporations.
4. Marketing Companies: Demonstrate the usage of AI to solve real consumer issues, so that more and more people adapt in their normal lives.

Pavan Punjabi feels that shaping and enforcing the regulatory framework for AI in India requires active participation from various stakeholders.

“The government plays a vital role in leading policy formulation, setting standards, and establishing regulatory bodies to ensure effective governance of AI technology. The industry has a responsibility to collaborate by developing sector-specific guidelines, sharing expertise, and promoting responsible AI practices within their respective domains. Academia contributes by conducting research, offering expertise, and providing training programmes to build regulatory knowledge among professionals. Civil society plays a critical role by advocating for transparency, accountability, and representing public interests to ensure that the regulatory framework aligns with societal values and safeguards the welfare of citizens. The collective efforts of these stakeholders are crucial in shaping and enforcing a comprehensive and effective regulatory framework for AI in India,” he added.

Creation of a strong and adept team to put this system into place is necessary which should ideally come from a collaboration of academia and industry composed of subject matter experts across industries, says Gyan Gupta. Strengthening of data protection and privacy is of utmost importance as well.

And most importantly, the regulatory framework for AI has to be adaptable and responsive to the rapidly evolving technology landscape and emerging AI use cases in different industries.

Shayesta Shahzabeen feels that it is necessary to develop technology-neutral regulations. “Develop regulations that focus on the underlying principles and objectives rather than specific technologies. This approach allows for flexibility in accommodating new and emerging AI technologies without requiring frequent revisions to the regulatory framework,” she explains.

Another important component is a risk-based approach. “Implement a risk-based approach to regulation, where the level of regulatory scrutiny is proportionate to the potential risks associated with the AI application. Differentiate between low-risk and high-risk AI systems and adjust regulatory requirements accordingly. This allows for a more nuanced and targeted approach to regulation,” she concludes.

To ensure that the regulatory framework for AI in India remains adaptable and responsive to the rapidly evolving technology landscape and emerging use cases, several strategies can be employed, says Pavan Punjabi.

According to him, proactive monitoring is essential, as it enables continuous tracking of advancements, identification of emerging trends, risks, and regulatory gaps. Regulatory sandboxes can be established to create controlled environments for experimentation, providing valuable insights for regulatory adjustments while fostering innovation.

“Collaborative engagement is crucial, as ongoing collaboration between regulators, industry experts, academia, and stakeholders from different sectors allows for the exchange of knowledge and expertise. Embracing an iterative approach to regulation is vital, as it enables regular evaluation, updates, and refinements to address emerging risks and ensure that the regulatory framework remains effective and relevant in the face of rapid technological advancements. By implementing these strategies, India can create an adaptable and responsive regulatory framework for AI that effectively governs the evolving technology landscape and facilitates innovation,” he adds.

Managing the constant influx of new changes can be a daunting task, says Gyan Gupta. Collaboration poses its own challenges, and it's important to ensure that our progress keeps up with the rapid advancements in technology, he adds.

According to him, the rapid pace of changes is resulting in a shortage of expertise. “It is crucial to comprehend the workings of these changes and strategically assign individuals to suitable roles in order to establish an effective framework. If the framework is flawed or inefficient, it may either be too flexible and lack structure, or excessively rigid, hindering progress and development,” he adds.