Hi getdebu,
Welcome to the Google Cloud Community!
Google adheres to a set of AI principles in the AI/ML domain, with a strong focus on ethical and responsible development. Here are the key principles:
- Fairness: Striving to eliminate or minimize unfair bias in AI models through techniques like data augmentation and adversarial training.
- Privacy: Integrating privacy considerations from the very start of development.
- Transparency: Ensuring accountability while providing opportunities for feedback.
- Safety: Designing models that can function safely, even in challenging or adversarial environments.
- Scientific Excellence: Maintaining high standards of research, rigor, and innovation. Google researchers actively publish in top AI conferences and contribute to open-source projects like TensorFlow, demonstrating their commitment to advancing the field.
- Social Benefit: Creating AI technologies that deliver social benefit, with a focus on applications that contribute positively to society.
Additionally, Google places significant importance on operational excellence, emphasizing security, reliability, cost-efficiency, and performance optimization for AI/ML workloads.
For more detailed information, you can explore these documentations:
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