Ethics in a digital age: data, privacy and AI in government

Digital government changes the ethics of public office, not by creating entirely new values, but by changing the scale and speed at which old problems occur. A paper file could be misused by one person at a time; a database can expose millions of records in seconds. An official's biased judgement once affected one applicant; an algorithm trained on biased data can affect thousands before anyone notices. The familiar principles — honesty, fairness, accountability, and privacy — therefore need new institutional forms.

Privacy is the starting point. In 2017, a nine-judge bench of India's Supreme Court held in Justice K. S. Puttaswamy v. Union of India that privacy is a fundamental right protected by the Constitution. Parliament later passed the Digital Personal Data Protection Act in 2023, which sets rules for how personal data may be collected and used, including duties on those who process data and rights for the individuals concerned. For public servants, the practical meaning is restraint: collect only what is needed for a stated purpose, protect it, and do not repurpose it without justification. Data collected to deliver a benefit should not quietly become a tool of surveillance.

Artificial intelligence adds a second challenge: accountability. When a system recommends denying a benefit, flagging a taxpayer, or targeting an inspection, someone must be able to explain why, and someone must be answerable if the system is wrong. Automated systems can also reproduce historical bias — for example, if past enforcement data reflect discrimination, a model trained on that data may repeat it. That is why many guidelines now require human oversight of significant automated decisions, testing for bias, and records of how a system was trained and used.

The digital age also creates new temptations for officials: using data access for personal curiosity, leaking databases rather than documents, or presenting an algorithm's output as neutral when its design involved contested choices. The ethical response is the same as in earlier eras — transparency about methods, audit of outcomes, and a named human responsible for each decision — applied with greater rigour, because the harms of getting it wrong now scale as fast as the technology itself.