AI Ethics, Morality and Safety: a Consciousness-First Perspective

Why BIHS is taking up this question

Most AI-ethics work, including the NIST, OECD and UNESCO frameworks and the EU AI Act, is strong on risk and regulation. But it usually assumes that mind is only a product of matter. That leaves the deepest questions open: can a machine be conscious, what makes a person more than an information processor, and what should technology serve?

BIHS holds that consciousness is fundamental to reality. Its research in consciousness, metaphysics and the origins of life bears directly on these questions, so BIHS can offer the field a perspective it rarely hears.

Core principles

These principles are offered as an invitation to dialogue, not as fixed rules. Each pairs a Bhāgavata idea with its counterpart in mainstream AI ethics, and BIHS welcomes responses from scientists, technologists and other traditions.

Key questions

BIHS has the most to contribute on the first two. On the rest it joins work already under way.

1. Can AI be conscious? Some researchers argue future models could deserve moral consideration. A consciousness-first view separates intelligent behavior from the presence of a self.
2. What is a human being? If people come to see themselves as biological computers, their sense of meaning, responsibility and worth changes.
3. Truth and deception: confident falsehoods, deepfakes and persuasive manipulation.
4. Bias and equal vision: models learn the prejudices in their training data.
5. Relationship and dependence: people bond with chatbots as companions or even spiritual advisors.
6. AI in religious life: should AI write sermons, answer scriptural questions or simulate a teacher?
7. Power: a few companies and governments control the most capable models.
8. Work and livelihood: what builders owe those whose work is automated.
9. Privacy and consent: people's words and images used for training without permission.
10. Catastrophic risk: misuse for weapons or cyberattacks, and loss of human control.
11. Environmental cost: the energy and water used to train and run large models.

Guidelines

For builders of AI models

• Document where training data comes from, and respect consent and copyright.
• Test for harmful outputs, bias and deception before release, and publish the results.
• Never design systems that claim feelings, a soul or consciousness to win trust.
• Keep a human accountable for every high-stakes decision the system informs.
• Refuse clearly harmful requests, and give users a way to report problems.

For organizations adopting AI

• Use AI to assist scholars and staff, never as the final authority on teaching or scripture.
• Disclose when content was drafted or substantially shaped by AI.
• Keep personal and donor data out of AI tools unless the provider contractually protects it.
• Review your AI policy every year.

For individuals

• Verify important claims against primary sources, especially scriptural quotations.
• Notice when time with AI replaces human relationship, study or practice.
• Treat AI as a tool, and keep your own judgment and conscience in charge.

Checklist before adopting or releasing an AI tool

• We can say in one sentence what it is for and who it serves.
• We know what data it uses and where that data goes.
• We tested it on our real tasks and checked the outputs for errors and bias.
• A named person is responsible for its use and its mistakes.
• Users are told when they are dealing with AI.
• It does not present itself as conscious, as a spiritual authority or as a person.
• There is a way to report problems and switch it off.
• Its costs, including environmental costs, are proportionate to the benefit.

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Safety

AI safety risks fall into four groups, from harms happening now to longer-term ones.

The deepest safeguard is moral: the character and intention of the people who build and direct these systems. Technical safeguards serve whatever values guide their makers.

Trusted resources

Good, free material already exists. These are the most useful starting points.

Study series

Six sessions introduce AI ethics through the BIHS lens. Groups, classes and families are welcome to use them.