This blog argues that, in the age of AI, market definition must adapt, separating hype from structural reality and ensuring that claims of “nascency” do not become convenient cover for an anti-competitive market. 

The article explores the challenges and shortcomings of SEBI’s proposed AI/ML liability framework, particularly its reliance on senior management accountability, while suggesting alternative governance models informed by global best practices, and aims to contribute to the ongoing discourse on corporate and commercial law and aims to contribute to the ongoing discourse on corporate and commercial law.

The integration of AI and its sub-systems in international arbitration is inevitable, but instead of blind participation in the AI race, the stakeholders must be vigilant and even de-limit such integration in certain sensitive areas, ensuring that technology remains a tool, not a tribunal.

The intersection of corporate governance and AI-related intellectual property presents a complex yet evolving opportunity which demands adaptive governance frameworks.

As India is witnessing the rapid expansion of digital lending in its financial sector, it becomes increasingly important to redefine its regulatory framework accordingly. While the use of AI models and ML in credit risk assessment helps in improving the overall efficiency and scalability, the challenges like AI-bias, data protection, and lack of transparency call for prompt intervention. 

The article analyses the role of AI as a new frontier in the digital market space.

The DeepSeek PIL is emblematic of a pivotal moment in the ongoing evolution of technology law.

The homogenous regulatory approach taken by SEBI displays uniform attitude towards use of artificial intelligence and machine learning.

Due mostly to a 42% drop in start-up investments and a 33% drop in total deal volume, the PE/VC market dropped 11% year over year in 2023.

The deployment of AI on company Boards will herald a revolution in the framework of governance.

The present status of uncertainty around regulation of AI and data protection in India calls for a revisit.