17.2 Ethics of computational photography⧉
Computation does not introduce dishonesty into photography; it widens a gap that was always there. Photography has never been "the truth." The moment you choose a frame, an exposure, and an instant — and choose to keep this shot and discard a hundred others — you have made the image a set of choices, not a neutral record. Computation simply gives those choices more reach.
- Manipulation and provenance. There is a continuum from a routine retouch, through composites, to outright deepfakes, and no bright line marks where enhancement becomes deception. Two technical responses matter: forensics — detecting that an image has been altered, from its statistics and physics (developed in the Missing stuff chapter) — and provenance — cryptographically signing an image's origin and edit history (C2PA / content credentials, watermarking) so a viewer can check where it came from.
- Fairness and representation. This is not hypothetical. Color film and, later, automatic exposure and auto white balance were tuned for light skin — the calibration reference was literally a photo of a light-skinned woman, the Shirley card — and that bias persists today in metering, white balance, and face detection that work less well on darker skin. The obligation is to design and test for diverse skin tones (the Skin tones chapter), not to inherit the defaults.
- Privacy and consent. Faces, surveillance footage, always-on wearable cameras, automatic face and license-plate recognition — all raise the question of the right not to be captured, and of who gets to point a computational camera at whom.
- Generative AI. When any image can be generated from a prompt, the questions sharpen: consent and copyright for the training data, what a synthetic "photograph" of an event that never happened even is, and what photographic evidence can still mean (the Generative AI chapter).
The book's editorial stance, to keep consistent throughout: name each capability and its misuse in the same breath, and prefer transparency — disclose when an image has been computed. The goal is neither techno-utopian cheerleading nor doom; it is honesty about a powerful tool.