About

About Immortal AI

When AI starts becoming part of us, someone needs to ask what we may be losing.

Immortal AI is an independent editorial project investigating how artificial intelligence is changing people, relationships and society, and whether those carrying the greatest risk are being adequately protected.

Why this exists

AI is entering ordinary life faster than public understanding and accountability can keep pace.

Most coverage begins with what artificial intelligence can do. Immortal AI begins with a different question: what is it doing to us?

AI can now answer a child’s questions, imitate a person’s voice, influence who gets considered for work and provide emotional reassurance at any hour. Each capability may be useful. Each also changes a human relationship, decision or responsibility.

Immortal AI examines those changes without treating every development as either a miracle or a catastrophe. The aim is to make the human stakes understandable, identify who holds the power and ask who should answer when something goes wrong.

Who this is for

Written for people living through the change, not only the people building it.

You should not need a technical background to understand how AI may affect your family, work, privacy, identity or ability to know what is real. Immortal AI turns complex developments into clear, sourced human stories without stripping away the uncertainty.

What we investigate

The places where technology becomes personal

01

People, relationships & identity

What happens when people turn to AI for comfort, advice and connection, while systems also learn to imitate a person’s voice, preferences and beliefs?

02

Work & decisions

Who is accountable when an algorithm influences whether someone is hired, approved, monitored, ranked or rejected?

03

Truth, power & responsibility

Who benefits when synthetic content becomes easier to create, power is concentrated in fewer hands and responsibility for the outcome becomes difficult to locate?

How we work

Attention may begin with emotion. Trust must be earned with evidence.

Human consequence first

We begin with the person affected, then follow the evidence toward the systems, incentives and decisions responsible.

Evidence and uncertainty

Material factual claims require credible support. Allegations, inferences and unresolved questions are labelled clearly, and uncertainty stays visible.

Accountability without victim-blaming

Vulnerability may help explain why harm occurs. It does not transfer responsibility from those who caused, designed or enabled it.

Use of artificial intelligence

Immortal AI uses artificial intelligence to assist with research, source discovery, article structure, drafting and editing. AI is not treated as a source of evidence. Every factual claim is checked against cited material, and every article is reviewed, revised and approved by founder and editor Andrew McDonald, who remains responsible for what is published.

ABOUT THE FOUNDER

Andrew McDonald

Immortal AI was founded by Andrew McDonald and has grown into an independent editorial project examining how artificial intelligence is changing people, relationships, work, identity and society.

Its approach is shaped by Andrew’s 27 years in policing, including senior roles in investigations, operational leadership, critical incidents and accountability. That background continues to inform how Immortal AI assesses evidence, separates established facts from allegations, tests competing explanations and asks who had the power to act, who carried the risk and who remains responsible for the outcome.

Andrew is not an AI scientist and does not present himself as one. Immortal AI draws on primary sources, credible research, expert commentary and documented reporting. Its value lies in disciplined investigation, clear sourcing, practical guidance and a willingness to acknowledge uncertainty, correct the record and keep developing its work as the evidence changes.

Immortal AI is not affiliated with an AI company, political party or advocacy organisation.

Its responsibility is to the evidence, the reader and the people affected by the systems it examines.