Google's AI Principles Guide Ethical Use of AI Tools
Colin Smith — August 9, 2023 — Tech
References: ai.google
Google has published seven principles to guide its work in AI development and use. These principles are meant to ensure that its AI products and services are developed and used responsibly, and that they reflect Google’s vision and values for responsible AI innovation and development.
The first three principles are about the social impact of AI. Google aims to create AI that benefits people and society, and that outweighs the foreseeable risks and downsides. Google also strives to avoid creating or reinforcing unfair bias in its AI systems, and to follow strong safety and security practices to avoid unintended results that create risks of harm.
The next two principles are about the human agency and dignity of AI. Google designs AI systems that provide appropriate opportunities for feedback, relevant explanations, and appeal. Google’s AI technologies are subject to human direction and control. Google also incorporates its privacy principles in the development and use of its AI technologies, and gives opportunity for notice and consent, encourages architectures with privacy safeguards, and provides appropriate transparency and control over the use of data.
The last two principles are about the scientific excellence and ethical standards of AI. Google values technological innovation that is rooted in the scientific method and a commitment to open inquiry, intellectual rigor, integrity, and collaboration. Google uses AI tools to unlock new realms of scientific research and knowledge in critical domains like biology, chemistry, medicine, and environmental sciences. Google also will not pursue or deploy AI applications that violate these principles or international law or widely accepted norms of human rights.
Image Credit: Shutterstock
The first three principles are about the social impact of AI. Google aims to create AI that benefits people and society, and that outweighs the foreseeable risks and downsides. Google also strives to avoid creating or reinforcing unfair bias in its AI systems, and to follow strong safety and security practices to avoid unintended results that create risks of harm.
The next two principles are about the human agency and dignity of AI. Google designs AI systems that provide appropriate opportunities for feedback, relevant explanations, and appeal. Google’s AI technologies are subject to human direction and control. Google also incorporates its privacy principles in the development and use of its AI technologies, and gives opportunity for notice and consent, encourages architectures with privacy safeguards, and provides appropriate transparency and control over the use of data.
The last two principles are about the scientific excellence and ethical standards of AI. Google values technological innovation that is rooted in the scientific method and a commitment to open inquiry, intellectual rigor, integrity, and collaboration. Google uses AI tools to unlock new realms of scientific research and knowledge in critical domains like biology, chemistry, medicine, and environmental sciences. Google also will not pursue or deploy AI applications that violate these principles or international law or widely accepted norms of human rights.
Image Credit: Shutterstock
Trend Themes
1. Social Impact of AI - Creating AI that benefits people and society, while avoiding unfair bias and unintended harm.
2. Human Agency and Dignity of AI - Designing AI systems with feedback, control, privacy principles, and transparency for users.
3. Scientific Excellence and Ethical Standards of AI - Using AI tools to advance scientific research in domains like biology, chemistry, medicine, and environmental sciences.
Industry Implications
1. Technology - Innovating AI development and practices to have a positive social impact and uphold ethical standards.
2. Healthcare - Leveraging AI technologies to advance medical research and knowledge in biology and medicine.
3. Environmental - Utilizing AI tools to explore and improve understanding of the environment and environmental sciences.
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