Ethical Framework for Neural Networks
A self-regulating ethical framework for neural network development that prioritizes human values and societal impact.
Neural systems must provide clear explanations of decisions and maintain audit trails for all neural processes.
Human oversight is maintained at every decision layer with robust mechanisms for corrective actions.
Continuous monitoring and self-correction to eliminate inherent neural algorithmic biases.
Quantum analysis of decision patterns to identify hidden discriminatory outcomes.
EthiNet framework prevents unauthorized data extraction from neural architectures.
Dynamic alignment of neural goals with human ethical standards through real-time feedback.
Contribute to shaping the future of neural ethics. Our open-source framework is the foundation for responsible AI development.