The widespread use of technology in the modern digital era has completely changed how we communicate, work, and live. AI is one of the most innovative technologies of all. It has the potential to change several professions and industries drastically. However, as AI develops further, a plethora of possibilities and challenges arise, especially in the field of cybersecurity. The combination of AI and cybersecurity in India has created strong regulatory frameworks that handle new risks and promote innovation and digital resilience. AI, defined by computers that simulate cognitive processes linked to human intellect, has an unmatched capacity for data analysis, pattern recognition, and real-time decision-making. AI-powered systems can improve risk mitigation, incident response, and threat detection in the context of cybersecurity. Machine learning algorithms can quickly detect unusual activity, anticipate possible cyberattacks, and adjust to changing threats, increasing the overall resilience of digital infrastructures.
Acknowledging the necessity of tackling these issues, India has made noteworthy efforts to develop cybersecurity laws and regulations incorporating artificial intelligence technology. We do not currently have any legislation exclusively for artificial intelligence regulation. The foundation of Indian law controlling cyberspace is the Information Technology (IT) Act 2000, which was revised in 2008. The legislation’s provisions about electronic signatures, data protection, and cybercrime serve as a fundamental framework for tackling cybersecurity issues caused by artificial intelligence. The AI concept started in India when NITI Aayog announced the National Strategy on AI in 2018.[1]
This discussion broadly covered the commercial and private sectors. An increasing number of nations are recognizing the social and economic benefits that may ensue from the advancement and integration of artificial intelligence.
For instance, the United Kingdom and China plan to derive 26% and 10% of their respective GDPs from AI-related activities and enterprises by 2030. In the past 18 to 24 months, various nations have witnessed significant progress in establishing AI policy positions and developing an AI ecosystem. For instance, the United States released its AI report in December 2016, and France unveiled its AI strategy in January 2017, which was subsequently followed by a comprehensive policy document in March 2018; Japan published a document in March 2017, China the AI strategy in July 2017, and the United Kingdom unveiled its industrial strategy in November 2017.[2] India has also developed a platform called “Indiaai” as a knowledge portal for all AI-related understanding and to build an ecosystem for AI collaborations and research. The cabinet has approved the India AI mission, which has a budget allocation of Rs 10,372 crore for five years, according to Union Minister Piyush Goyal.[3] This development represents a notable stride in promoting the progress of artificial intelligence in India. The declaration is consistent with the government’s numerous allusions to AI advancements in India and the country’s potential to be a significant player in the AI industry. Utilising the authorized corpus, a substantial computing infrastructure will be developed.
According to UNESCO, AI is a profoundly transformative technology, with research indicating that it could add USD 13 trillion to the global economy by 2030, or approximately 1.2% annually, to the global GDP growth.[4] Although researchers often agree on the rising popularity and revolutionary traits of artificial intelligence (AI), conjectural analyses regarding its economic ramifications and contribution to productivity still need to be discovered. This echoes the apprehensions expressed in the well-known Solow’s paradox, which states that the computer age is evident everywhere except in productivity statistics.[5] Although AI adoption has made some strides, it still needs to overcome obstacles, including concerns regarding data privacy, a shortage of proficient workers and ethical deliberations. Nevertheless, these obstacles also provide prospects for advancements and cooperation among stakeholders from the private sector, academia, and government to efficiently tackle them.
In conclusion, the emergence of Artificial Intelligence (AI) in India offers a paradigm shift in possibilities that will have far-reaching consequences for numerous societal domains. The capacity of AI to improve efficiency, promote innovation, and enhance decision-making processes has been substantiated by its extensive implementation across various sectors, including finance, education, healthcare, and agriculture. Nevertheless, India must confront several significant obstacles as it adopts AI. These include the necessity for strong regulatory structures, ethical concerns about data privacy and algorithmic bias, and the critical task of preventing potential job loss via reskilling and upskilling endeavours.
[1] NationalStrategy-for-AI-Discussion-Paper.pdf (indiaai.gov.in)
[2] Supra note 1
[3] Cabinet approves India AI mission at an outlay of Rs 10,372 crore
[4] Multistakeholder AI development | UNESCO
[5] The impact of artificial intelligence on labor productivity | Eurasian Business Review (springer.com)
Done By: Anoushka Samyuktha, B.A LL.B (Hons), LLM (Criminal Law), Junior Legal Consultant
For Origin Law Labs
