可信人工智能治理白皮书

Investment Rating - The report does not explicitly provide an investment rating for the industry Core Insights - The report emphasizes the rapid growth and integration of artificial intelligence (AI) across various sectors, predicting the AI market to grow from USD 621.19 billion in 2024 to USD 2,740.46 billion by 2032, indicating a significant investment opportunity in AI technologies [10][11] - The concept of "Trustworthy AI" is highlighted as a global consensus, focusing on the need for ethical, transparent, and accountable AI systems to ensure their safe deployment and societal acceptance [20][22] Summary by Sections Chapter 1: Global AI Development and Regulatory Framework - As of 2024, 69 countries have established AI-related policies and regulations, reflecting the global emphasis on managing the risks associated with AI technology [11] - The European Union's AI Act, effective from August 1, 2024, categorizes AI systems based on risk levels, with high-risk systems requiring compliance with stringent regulations [11][12] - The United States is adopting a sector-specific approach to AI regulation, with new legislation aimed at enhancing transparency and accountability in AI systems [13][14] Chapter 2: Trustworthy AI Principles - Trustworthy AI must adhere to principles such as safety, fairness, explainability, and privacy protection, which are essential for fostering public trust and ensuring ethical AI development [23][24] - The G20 and EU have established guiding principles for AI that emphasize inclusive growth, respect for human rights, and accountability [24][28] Chapter 3: Key Issues in Trustworthy AI - The report identifies significant challenges in AI, including algorithmic bias, data security, and the inherent risks associated with AI systems [34][35] - Algorithmic bias can lead to unfair outcomes in critical areas such as hiring and law enforcement, necessitating careful consideration in AI design and implementation [38][41] - Data security is crucial for maintaining user trust and compliance with legal standards, with incidents of data breaches highlighting the vulnerabilities in AI systems [39][42] Chapter 7: Industry Insights and AI Governance Research - The report provides insights into various industries, including automotive, healthcare, retail, and services, detailing their current AI applications and the challenges they face in governance and compliance [7][8] - Each industry is encouraged to develop tailored AI management systems to address specific risks and enhance the effectiveness of AI technologies [8]