Acerca de este juego

Welcome to FACEMINER, where Every Face Has Value. Your job? Harvest biometric data, upgrade infrastructure, and expand your data processing empire as hard as Planet Earth can take it.

Set against a backdrop of 90s techno-optimism, FACEMINER is an experimental, narrative-driven incremental management quasi-idler that tasks the player with building a planetary-scale biometric processing empire from scratch.

WORKLOAD

Harvest data, manage software, and expand your hardware as you rapidly expand your plant’s infrastructure. Ensure profits remain high and avoid bankruptcy (or worse) as you navigate oppressive electricity bills, high-maintenance cooling systems, and crooked politically-enforced carbon offsetting schemes.

CORPORATE CULTURE

Mining alone is no fun! Learn more about your fellow miners and keep up to date with the office gossip through internal email. Sift through messages to unravel the mysteries – and ultimate plans – of the shadowy creators of the FACEMINER software suite.

GROWTH OPPORTUNITIES

Climb the corporate ladder and gradually rise through the ranks as you are promoted from manual data-filtering rookie through to the ultimate harvesting automator as you classify and sell facial data at ever-increasing speeds. The world of data brokering is ruthless, and poor prioritisation can lead to costly mistakes down the line. Do you have what it takes to climb the ranks and become the ultimate FACEMINER?

ALL-ORIGINAL SOUNDTRACK

Featuring a tour-de-force of original 90s-infused tracks by Madwreck (https://madwreck.bandcamp.com/). From house to jungle to ambient, the built-in audio player will keep you locked in the zone while you click your way into A.I. history.

Remember: Every Face Has Value.

Información sobre contenido generado por IA

Los desarrolladores describen cómo sus juegos utilizan contenido generado por IA de esta manera:

FACEMINER is a concept-driven game that directly engages with the ethics of AI. For thematic purposes, the game features faces which have been generated by a GAN (Generative Adversarial Network) trained on the FFHQ dataset, a research dataset released by NVIDIA that is the backbone of many real-world facial recognition applications. Per NVIDIA, only images under permissive licenses were collected.

The 'AI training' in this game is fictional and has been simulated for entertainment purposes. The game can be interpreted as a critique of AI specifically relating to the ecological impact of mass data hoarding, surveillance concerns, and way it is used to compound corporate power.