IB Digital Society 5.1B Changing Populations Notes

5.1B Changing Populations

Changing Populations as a Challenge

1. An HL-only sub-topic: how digital systems deal with populations that are growing, ageing, or on the move.
2. What makes it a challenge is timescale: age structure is set by birth rates 30 years ago, so today's ageing workforce or youth bulge was locked in long before anyone acted. Pressures (crowded cities, strained pensions, migration) build slowly and cannot be undone by one policy or app.
3. Framing concepts: space (where people live) and change (how numbers and ages shift). Digital systems both measure the shift and shape the response.
4. Approach: the challenge up close (counting, ageing, movement), then interventions weighed by what they do, type, effectiveness, and worth (the Paper 3 reasoning).

Counting a Changing World

1. To respond, a state must first count and identify people, above all through digital ID: an official, often biometric record giving each person a verifiable identity.
2. A digital ID can unlock benefits, banking, healthcare, and voting, and bring the never-registered into the system for the first time.
   1. But it can shut people out when they cannot enrol or their fingerprints will not read, and it gathers sensitive data on a whole population in one place.
3. Through systems and power, who gets missed decides who a system serves, and the state holding the database gains real power over everyone in it. Contested: a central database can also become a tool for surveillance.

Ageing Societies and Care

1. Many countries are ageing fast: more older people, fewer working-age people to support them.
2. Telecare and remote monitoring let older people stay safely at home: sensors flag a fall or missed dose, companion technology offers reminders and company. Japan, with one of the world's oldest populations, leads in care and social robots.
3. But a device cannot replace human contact, and the oldest are often the least digitally confident, so tools can miss those who need them most. Through change and values and ethics, leaning on machines for care raises questions of dignity and connection.

Migration on a Phone

1. Migration now runs on digital systems: for people on the move a smartphone is essential (maps and messaging for the journey, apps for work and housing, mobile money to send funds home).
   1. Remittances, money sent home this way, are a lifeline and for some countries exceed all foreign aid received; video calls keep families together across distance.
2. But the same systems watch people: biometric borders, tracking, and databases surveil and sort migrants, and false information can send them into danger. Through space and power, the same phone that frees a journey also exposes the traveller to being tracked.

Judging Interventions: World ID and Data-Protection Law

1. Two moves: name what it does (mitigate, intercede, enhance, resolve), then weigh against equity, acceptability, cost, feasibility, innovation, and ethics before recommending.
2. World ID, the iris-based identity from World (formerly Worldcoin), is mainly an enhancing intervention: it strengthens the ability to prove someone is a unique, real person.
   1. Equity: good but not full (brings in the undocumented, yet authentication failures can deny entitlements). Feasibility: very high (already runs at over a billion in comparable ID systems).
   2. Cost: cheaper than paper systems, but a central biometric database is expensive to secure. Ethics: low (holding a whole population's biometrics in one place raises serious privacy and surveillance concerns).
3. Recommendation: caution, not a ban. Proof of personhood has value in an age of AI and bots, but a private firm should not gather the world's irises unchecked: require independent oversight, hard limits on biometric data, and a real choice not bought with tokens.
4. A different type: a data-protection law intercedes in how such systems run (consent before sharing, independent audits, a right to challenge errors). High on ethics and acceptability, weaker on feasibility (needs an independent regulator with real power). An intervention need not be an app.

Weighing a Contested Balance

1. Claim: a digital ID is the surest way to include the never-counted, opening benefits, banking, and a voice. Counter-claim: the same ID reduces a person to a database entry, and when it fails or is misused it excludes and surveils.
2. The Rohingya refugees show the tool turning: registered in Bangladesh's camps, their names, photos, and fingerprints were collected to establish identity and unlock aid.
   1. A 2021 Human Rights Watch investigation found the biometric data was shared, without proper informed consent, with the very government in Myanmar that drove them out. On ethics and acceptability it inverts and fails.
3. A digital ID can include people or expose them. The outcome turns on fallback options when it fails, protection of the data, and a right to appeal a wrong record. Whether it includes or exposes is set by those design choices and by who holds the power, not by the tool on its own.
4. Recommendation: build inclusion systems with non-biometric fallbacks so no one is cut off by a failed scan; set strict limits on how identity data is stored and shared; give people a real right to appeal.