computational good faith
this essay explores how good faith—honesty, fairness, and trustworthiness—can be made computationally verifiable. it examines how intent can be made legible, fairness enforced, and system gaming prevented. by treating good faith as an algorithmic property, digital and ai systems could become more adaptive and self-correcting. this has major implications for ai alignment, contract enforcement, and governance. integrating good faith into computation could lead to more stable and trustworthy systems.
this essay explores how good faith—honesty, fairness, and trustworthiness—can be made computationally verifiable. it examines how intent can be made legible, fairness enforced, and system gaming prevented. by treating good faith as an algorithmic property, digital and ai systems could become more adaptive and self-correcting. this has major implications for ai alignment, contract enforcement, and governance. integrating good faith into computation could lead to more stable and trustworthy systems.
this essay explores how good faith—honesty, fairness, and trustworthiness—can be made computationally verifiable. it examines how intent can be made legible, fairness enforced, and system gaming prevented. by treating good faith as an algorithmic property, digital and ai systems could become more adaptive and self-correcting. this has major implications for ai alignment, contract enforcement, and governance. integrating good faith into computation could lead to more stable and trustworthy systems.