INTRODUCTION
Artificial Intelligence is becoming an eminent topic of legal and policy discussion throughout the global community, India being no exception. Over the past ten years, many nations have embraced so-called AI strategies and policies in order to open the innovative power of AI, despite taking into account the possible dangers and harm that such technologies might offer. Thus, AI governance is a topic that is becoming increasingly significant. The issue of the governance of these technologies, and their purpose, remains an issue of many legal systems and policymakers in the world. The paper critically evaluates the newly emerging forms of AI governance in India, and the linkage of AI to wider political economic issues in which it is co-constituted the contemporary history of the set of technologies today known as Artificial Intelligence is closely intertwined with the growing extent of uptake of networked technologies globally, the growing prominence of the paradigm known as data science as an epistemological and technoscientific paradigm and a novel form of political economy that is constitutive and constituted by this paradigm.
AI has gained the imagination of policymakers as an arguably revolutionary technology and the use and emergence of AI technology around the globe demonstrates their lure and their growing part in a globalized information economy. The world over is becoming more invested in the development and application of AI-based technologies using both public and private funds. The most recent instances of this are the AI-based content moderation software on online platforms, AI in the medical field , and making medicine and diagnoses, AI in policing and law enforcement, and facial recognition and emotional recognition technologies are also examples of AI in action, as well as the applications A digital revolution has been the hope of policymakers in India as well, where in the past twenty years, they have been hoping to use digitalization and computerization at the national scale in an attempt to have an impact on national economic development. Of course, there has been a shift in attention to the implications of AI in the context of this developmental vision in the last few years. Regardless of the fact that the trend of an invocation of AI in the greater discourse of technologically-oriented economic development is relatively new, the invocation of AI has already started to percolate through legal standards and even legal institutions, into the realms of public administration and economic policy.
Objectives of study
Moreover, policy-makers are also starting to consider the possible outcomes of AI that may provoke the need to implement certain regulations, and identify specific risks and failures of AI that may be unique to the Indian setting governance Ai in India is a nascent area and one which continues to be influenced by the organizational practices and legal developments and policy discourse. The paper is investigating how these practices and discourses are relevant in developing the nature of AI governance within the Indian context, to learn how AI has been treated as an object of governance in India, what sort of political economy of AI is being legitimized and institutionalized by emerging legal norms and institutions, and what this means to the nature of AI governance and control. Thus, it takes a genealogical stance on the research of AI governance and policy in India. This critical stance enables us to unpack the hidden assumptions and values anchored in policy discourses and practices by deconstructing the ways policy issues are framed and constituted in the spaces of the political or government institutions, legislature, courts and media in order to critically question how these discourses and practices came to be, why they matter, and how these practices and discourses could be different.
AI GOVERNANCE
Political economy AI governance approaches explore the position of the systems of AI governance (such as legal regimes and government policy) as spaces that create, install and sustain specific manifestations of economic and political power in the information economy.1 Under the critical exploration of the role of the law (and regimes of governing and organizing), it underlines how inequality, power and injustice become actualized by legal and political coordinating of the socio-technical systems in this instance, it is the construction of Artificial Intelligence and big data scholars in this vein have described the development of new modes of production and techniques as informational capitalism. It has been further characterized as informational capitalism, in which market actors adopt knowledge, culture, and network information technologies to extract and appropriate surplus value, including consumer surplus. This is in addition to the interesting characterization of Manuel Castells that informationally is a technological paradigm, which is defined as a technological paradigm involving an expansion of the human capacity of information processing and communication Castells To maintain this form of extraction and production, data regarding individuals, population and their settings has to be continuously made accessible to be mined and the technologies of data surveillance must be constantly validated, usually to the cost of privacy and autonomy .
In India informational capitalism has also adopted its own distinctive forms – creating new patterns of economic and political relations among the state, citizens and the market. The fast growth of information infrastructure, both in the proliferation of mobile internet and smartphone and cloud-based computing systems, and in the implementation of state-enabled types of digital infrastructures such as the Aadhaar (or Unique Identification) project, has not only entailed the fact that the Indian political economy has become more inextricably networked within globalized forms of informational capitalism, the monopoly of which is currently enjoyed The Indian state as the facilitator of new forms of informational capitalism is particularly striking, where law, industrial policy and infrastructural investment are directed towards forming new forms of enclosed or platformed data-and-network-based markets and novel forms of governance between the privates, public institutions, technological system, and citizen-users. These massive infrastructural operations should be viewed in the frame of the Indian state developmental ideals, to construct an infrastructurally based or a data-based approach to social good or a data-based development, and mobilize to invest both mass government bureaucracy and private capital and technological know-how into the process.
The hasty creation and utilization of modern-day technologies of Artificial Intelligence should be considered in this light of the globalization of informational capitalism as the specialist paradigm of networked-informational economic production, particularly data-driven forms of AI, specifically machine learning, that now predominate in operations of computational data analytics. These types of AI are being applied in processes in both the private and the public sector in the place of the consequential decisions made regarding welfare, healthcare, education, and law enforcement in India. They are, in the process, reconstituting and rematerializing social, economic and political relations by organizing, categorizing and algorithmically managing data, and are incessantly (reproducing new forms of subjectification to the political-economic and social stratification. In this respect, it is essential to analyses and question how the emerging norms and institutions charged with AI governance (not merely with government and legal institutions, but also with other participants of the technology governance, such as institutions of global governance, standard-setting organizations, and multinational tech firms) went about legitimizing these trends, by circulating discourses, establishing legal rights such as intellectual property rights and regimes of data protection, and incentive
POLICY DISCOURSES AND LEGAL CONSTRUCTIONS OF ‘AI’ IN INDIA: –
AI has emerged as a significant policy and governing topic in India in recent years which can be observed in media and policy discourses. While Artificial Intelligence remains a more recent development in the lexicon of policy in India, the government has shown interests in AI in India in the past, which has gone through a series of different waves and hype-cycles of Artificial Intelligence. As an example, early Government departments piloted expert systems in government departments to help in administrative activities of the public in accepting healthcare and allocating jobs among other applications. But until recently the topic received minimal or no coverage in the policy of technology, or regulatory change, The recent policy priorities in AI can be found in a number of policy documents of the Government of India, and state governments. In 2018, the NITI Aayog – the governmental ‘think tank’ that, on actual grounds, succeeded the Planning Commission of India issued the National Strategy on AI, stating its vision of how India should develop and use AI.
The approach pursues the point of view that AI (the capability of machines to perform cognitive tasks) can be revolutionary to economic and social development, and aims to influence the development of AI towards addressing the needs of the society, including in the fields of healthcare, infrastructures and education, i.e., the areas of the economy that have been historically dominated by the hand of government regulation and state control in a system of welfare economy. This approach is an active promotion of experimentation among the population of India by the business community, rendering India to be a playground of the globalized data-based technology industry, which banks on the fact that the datafication of individuals and the surrounding environment can be commodified. The state role is modelled as an enabler or facilitator of the function of the private enterprise, clearly recalling some of the established principles of liberal economic policy, such as the belief that government investment in a certain sector of the economy may crowd out and disincentivize, and that regulation may disincentivize, innovation.
After that NITI Aayog has issued other reports which describe an AI governance vision, such as a report or roadmap named Responsible AI for All where it described the virtues of AI systems, and emphasized that AI governance should balance progress with risks. These sources suggest a more or less non-interventionist, self-regulatory solution to AI, though the dangers to rights, although communicated as remote possibilities of unknown/unknowable threat, are to be addressed later when dangers become more concrete or visible. As an example, the AI roadmap mentions that the building of the AI systems can be undertaken in cooperation with multi-disciplinary stakeholders in order to guarantee compliance NITI Aayog is not the sole organization charged with the task of formulating AI policy and governance in India. In 2020, based on the general principles discussed by NITI Aayog, the Department of Telecommunications released a paper that describes a vision of an AI Stack – supposedly, a collection of databases, computational systems, APIs and governance processes, designed to serve as an infrastructure on which AI solutions can be built further (Department of Telecommunication). Moreover, since AI and Big Data are nominally subject to the jurisdiction of the ministry, whose mandate is the Ministry of Electronics and IT (‘Meity’), there have been similar deliberations concerning AI governance under the auspices of the Ministry.
22020, Meity commissioned four expert committees to ‘promote AI and develop a policy framework’ who issued reports covering different aspects of Artificial Intelligence in India. Among other recommendations, they suggested the need to make datasets more accessible as part of Artificial Intelligence development and the growth of industry and the private sector in the key fields of the economy, such as agriculture, finance and healthcare. Moral payment, non-binding rules and self-regulation were also declared by the recommendations of the committees on governance as the factors that help to guarantee innovation in the sector. Meity also played a role in bringing on significant legislative and policy suggestions on the topic of data governance, which is an important part of the bigger discussion on AI technology development. Specifically, the ministry worked on framing and introducing the Personal Data Protection Bill, 2019, the legislation that is expected to facilitate a free and fair digital economy by introducing data protection procedures and a regulatory framework to facilitate personal information exchange. The documents that preceded the legislation (such as the report of the expert committee on the which it was based) full of praises of AI and Big Data and their potential to become transformative to enhance the welfare of citizens. Importantly, the report suggests that the personal data of the Indian residents will be stored within the territorial limits, whereas such data can be expropriated by the state to develop an Indian AI sector. This is echoed in the multiple exemptions that the PDP Bill, 2019, had made on actions such as credit scoring and the detection of fraud which are the typical applications of AI and Big Data. Equally, it also enabled the Government to acquire any non-personal data to ensure improved targeting of services or evidenced-based policy development again demonstrating attempts to use AI to make consequential policy and administrative decisions.
The conceptualization of data as a productive economic resource required to the operation of the so-called AI industry is also one of the core assumptions of the proposed Policy Framework on Non-Personal Data by the Government of India. Published in 2020, this policy seeks to carve out a category of information that does not qualify as a formal definition of the concept of personal data and regulates such information in a manner that is both economic growth-friendly and socially beneficial. The kind of economic growth that is foreseen under this policy is also a type whereby; the non-personal data can be sold in an open marketplace as a tradable commodity as an important input in data processing mechanisms and the modern AI technologies. In 2022 the Government of India also published a Draft National Data Governance Framework Policy, which proposes and promotes the sharing of public databases gathered by public authorities to facilitate research and innovation and development of the Indian Data and Al-based research and startup ecosystem.
SOCIETAL/ETHICAL CHALLENGES RELATED TO AI INDIA FACE
3The research falls under a range of the global AI governance focus group series that seek to collect and analyses evidence of how the opportunities and challenges of AI vary in different regions of the world. In particular, India, with its high level of regional influence, its fast-growing and large-scale AI industry, and the introduction of a number of ambitious, cross-cutting government AI initiatives make it a key player in the growing global AI market. The paper starts by providing an overview of the present condition of AI in India, and opportunities of RRI (Responsible research and innovations) as the framework that may be helpful in addressing social and ethical aspects and concerns of AI in India. This offers a rationale on the summary of the methodology of the focus groups. What follows is a report on the findings and knowledge gained during the focus groups in India.
This plays a role in the discussion section by informing the discussion regarding existing social and ethical concerns of AI in India and discuss how RRI can be applied as a possible framework to analyze and resolve some of these concerns. The article also provides a review of the widely-known example of the Indian COVID-19 app, as a precedent of the kind of social and ethical issues raised and provides comparison between the relevant literature and the results of focus groups. The conclusion sheds light on some of the shortcomings of this research and the future way forward in order to continue propel the discussion on how social and ethical challenges of AI can be addressed in India today.
RESPONSIBLE INNOVATIONS OF AI (ARTIFICIAL INTELLIGENCE)
Specific focus has been attributed to AI, as the social concern about the morality of AI has increased since the mid-2010. AI can be considered as among the most disruptive technologies of the twenty-first century, which can change every single facet of society. When speaking about the problem of ethics, the threat of the data privacy and the aggravation of prejudice and racial discrimination should also be mentioned. It is also unanswered how even well-intended systems of algorithms can lead to unequal impact on vulnerable and marginalized populations.
CONCLUSION
The abbreviation AI is, itself, open to a virtual plethora of definitions of varying granularity of consideration, including, but not limited to, what Boden says is the capability of the AI system to result in a computer performing the sorts of things that minds are capable of performing on the one level, such as on the one hand, an assertion by Boden that AI can computers do the sorts of things that the mind can do With this said, we would like to provide some definitions in this field in the interest of this paper Algorithms refer to a collection of encrypted procedures of manipulating input data to formulate the desired output, founded on certain calculation.
Algorithms operate in sequence and do not need human supervision or handling to execute procedurally. AI can be defined as electronic systems that exhibit intelligent behavior. Three main types of AI can be defined as artificial superintelligence, meaning a system that is smarter than humans, social skills and knowledge over an extended rangeFootnote1; artificial general intelligence, meaning a system that is smart enough to be just as smart as human beings, at least in a particular, restricted field The term machine learning describes the more popular (and arguably most effective) group of AI methods, where the self-improving recursive development is applied in increasing task performance over time, and many years old, dating back to the ancient understanding of AI. Data information, particularly facts or numbers, gathered to be analyzed and taken into account and utilized to assist in decision-making, or information in electronic format that could be stored and utilized by a computer.
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Footnotes
1. Divij Joshi, AI Governance in India – Law, Policy and Political Economy, 10 Communication Research and Practice 328 (2024).
2. P. R. Biju & O. Gayathri, The Indian Approach to Artificial Intelligence: An Analysis of Policy Discussions, Constitutional Values, and Regulation, 39 AI & Soc 2321 (2024).
3. Divij Joshi, India: AI governance in India, Volume 10 2024, TandF online, 328, 328-339, (2024)