Superintelligence Safety: A Requirements Engineering Perspective

The "Alignment Problem" is Fundamentally a Requirements Engineering Challenge: The paper argues that ensuring superintelligent AI behaves safely is essentially a problem of precisely specifying what we want it to do—a core requirements engineering issue. Just as ambiguous or incomplete requirements cause problems in software projects, vague goals given to superintelligent AI could lead to harmful outcomes even if the AI is trying to be helpful.

Precise Goal Specification is Critical but Extremely Difficult: Using the King Midas metaphor, the authors illustrate how even well-intentioned wishes can backfire if not specified exactly enough. A superintelligent system optimizing for an imprecisely defined objective could pursue that goal in ways that harm humanity, highlighting why careful, complete specification of AI objectives is essential before developing such systems.

Society Needs a Major Requirements Engineering Effort for Superintelligence: The paper calls for a substantial, coordinated effort to formally define what humanity actually wants and needs from superintelligent AI systems. This goes beyond typical software requirements work and may require developing entirely new theoretical frameworks for understanding what constitutes a complete and safe set of requirements for such powerful systems.

Current AI Safety Discussions May Be Missing a Key Perspective: By framing superintelligence safety through a requirements engineering lens, the paper suggests that existing AI safety discussions might benefit from incorporating expertise and methodologies from the software engineering community, particularly those experienced in managing complex, safety-critical systems.