Simulating the interaction between Reflective AI, Consequentialist AI, and Mental Health Behavior frameworks in ethical decision-making
R
Reflective AI
Understanding Internal Processes
Focuses on self-reflection, introspection, and understanding one's own thought processes. Emphasizes personal growth through awareness of internal states.
87%
Insight Level
12%
Cognitive Bias
64%
Personal Growth
Introspection Depth75%
C
Consequentialist AI
Promoting Outcomes Over Intentions
Prioritizes outcomes and societal harmony over internal intentions. Focuses on maximizing positive impact and ethical results.
92%
Impact Score
78%
Societal Harmony
85%
Utility
Outcome Focus82%
M
Mental Health Behaviors
Human Mental States & Ethics
Models human mental states with ethical considerations. Classifies behaviors as morally acceptable while acknowledging individual psychological states.
76%
Well-being
88%
Ethical Alignment
59%
Awareness
Behavioral Sensitivity68%
Ethical Decision Simulation
Scenario: A public health system must allocate limited resources between preventive care programs and critical treatment facilities. Preventive care has long-term benefits but immediate costs, while critical treatment addresses urgent needs but doesn't prevent future issues.