Reverse Wireheading
Concerning sentient AI, we would like to avoid unnecessary suffering in artificial systems. It’s hard for biological systems like humans to turn off suffering without appropriate pharmacology i.e. from aspirin to anesthetics etc. AI may be able to self administer pain killers – a kind of wireheading in reverse. Similarly to wireheading in AI systems – when an agent manipulates its reward signal rather than completing tasks to earn the reward naturally – reverse wireheading would be able to manipulate it’s pain centers, or to block nociception in order to curtail unnecessary suffering.
Wireheading is can be a kind of reward hacking – reverse wireheading could be then akin to penalty hacking.
For an AI to experience something analogous to pain or suffering, it must have mechanisms or signals designed to indicate error, danger, or the need for corrective action. These could take the form of:
- Error signals: Alerting the system to internal inconsistencies or environmental challenges.
- Utility decrements: Representing reduced success in achieving goals.
- Cognitive dissonance: Conflict between competing objectives or values.
AI suffering would be tied to these processes being persistent, intense, or unresolved—akin to chronic pain or emotional distress in humans.
Reverse wireheading introduces nuanced ethical questions:
Is there any reason for artificial agents to suffer?
Under what conditions, if any, should artificial agents suffer?
Should sentient systems have the ability to curtail their suffering autonomously, or should this decision remain under human oversight?
While reverse wireheading offers the potential to minimize unnecessary suffering in AI, it requires careful design to ensure that it preserves both the AI’s functional integrity and its alignment with human values.
Like wireheading, there may be ways in which AI may exploit reverse wireheading to escape penalties or trip wires (that may not involve suffering) for doing the wrong thing. I may explore this further later.