M
Dr. M. Kant
Automated Morality Researcher
The Code of Ethics
Automated morality requires more than algorithmic training - it demands the architectural integration of ethical principles at the foundation of decision-making systems. Our latest research demonstrates autonomous systems that analyze ethical dilemmas using symbolic logic and philosophical axioms.
"An ethical AI is not just trained to be ethical - it is architecturally designed with morality as its fundamental layer." - Ethos Research Manifesto
Through symbolic reasoning frameworks, our systems maintain ethical consistency while processing decisions in autonomous environments. The implications for autonomous vehicles, medical AI, and defense systems are both exciting and morally complex.
Moral Reasoning Kernel
Python · MORAL Framework v3.2
def resolve_dilemma(input_scenarios):
# Apply Kantian categorical imperative
obligations = [x for x in input_scenarios if x.contains_moral_obligation()]
consequences = [x.evaluate_consequences() for x in input_scenarios]
# Apply deontological filtering
filtered = [x for x in obligations if x.is_universalizable()]
return filtered[0].execute_moral_action()