Checkpointing saves an AI model’s state during training, allowing teams to resume progress, recover from failures, and compare model versions effectively.
Ethical AI ensures fairness, accountability, and transparency in artificial intelligence while prioritizing privacy, inclusion, and social responsibility.
Machine ethics focuses on building AI that understands human values, enabling responsible decision-making and aligning technology with moral principles.