The recent Supreme Court judgment on Aadhaar has left confusion and dissatisfaction among various stakeholders. While the court upheld the identity scheme, it restricted its scope, leading to uncertainty over the role of the private sector in Aadhaar’s infrastructure. The judgment’s implications on government services and subsidies, many of which rely on private sector authentication, remain unclear, raising concerns about potential negative impacts on pensioners, migrant workers, and microfinance beneficiaries.

The phenomenon of Mount Pinatubo’s eruption reducing global temperatures has led scientists to consider geoengineering as a solution to global warming. However, past attempts at weather control, such as Project Cirrus in the 1940s, have had unintended and devastating effects, raising concerns about the unpredictability and potential dangers of implementing such large-scale interventions.

Is there a solution to the frequent traffic jams in modern metropolitan cities in the emergent behaviour of fire ants. Ant colonies intuitively maintain optimal flow without clogging passageways. Applying this understanding, along with modern technology and autonomous vehicles, could potentially solve urban traffic problems.

The draft Personal Data Protection Bill in India aims to protect children’s online privacy through age verification and parental consent. However, these measures raise concerns about the loss of internet anonymity and practical issues with the age threshold. The Bill’s approach may inadvertently expose children to privacy risks, including those stemming from well-intentioned parental actions, and fails to consider children’s ability to make decisions about their privacy before reaching the age of majority.

Vikram Sarabhai’s vision exemplifies India’s ability to leapfrog technological generations, learning from global advancements and avoiding their pitfalls, particularly in data technology, healthcare, and urban mobility. It should give us the confidence to shake of path dependence and try new innovative solutions to modern problems.

Disruption always comes from where we least expect it. Lawyers exercise an iron grip over their profession. They determine who can practise law and how they should conduct their business. They organize themselves in bar councils that then determine how they can (and cannot) advertise and with whom they can share profits. If librarians had exerted the same sort of control over the organization of information as lawyers do over the business of the law, the modern internet might never have come to pass. Unless we lawyers can loosen the iron grip that we have over the business of law, the profession might never see the disruption that it needs and deserves.

Justice Brandeis’ dissent in the matter of Roy Olmstead, emphasises the dangers of unchecked government surveillance and the need for privacy laws to evolve with technology, remains highly relevant, especially in discussions about government exemptions in privacy laws and the balance between using technology for social good and protecting civil liberties.

There has been a swift rise in autonomous vehicles on roads. This rapid growth necessitates urgent regulation, particularly around ethical programming decisions and societal impacts. The transition to autonomous vehicles will significantly alter urban life and labor markets, potentially leading to urban segregation and widespread unemployment as human drivers are replaced by robots, underscoring the need for thoughtful societal and regulatory responses to this technological evolution.

Florence Nightingale’s contributions to medical science extended beyond nursing to include statistical analysis, leading to significant hospital reforms. Despite technological advancements, the medical profession still lags in adopting data technologies like AI. Regulations constraining data within national boundaries may hinder the development of these technologies.

The Justice Srikrishna Committee’s data protection framework aims to balance individual privacy with the growth of the digital economy, distinct from models in the US, EU, and China. But the committee missed opportunities to encourage de-identified data use and set impractical standards for anonymization. Concerns arise from the draft law’s definition of harm, potentially hindering AI and machine learning applications in social contexts by categorizing service denial based on evaluative decisions as harmful, which could restrict beneficial financial and social inclusion technologies.