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深度 | 安永高轶峰:AI浪潮中,安全是新的护城河
硬AI· 2025-08-04 09:46
Core Viewpoint - Security risk management is not merely a cost center but a value engine for companies to build brand reputation and gain market trust in the AI era [2][4]. Group 1: AI Risks and Security - AI risks have already become a reality, as evidenced by the recent vulnerability in the open-source model tool Ollama, which had an unprotected port [6][12]. - The notion of "exchanging privacy for convenience" is dangerous and can lead to irreversible risks, as AI can reconstruct personal profiles from fragmented data [6][10]. - AI risks are a "new species," and traditional methods are inadequate to address them due to their inherent complexities, such as algorithmic black boxes and model hallucinations [6][12]. - Companies must develop new AI security protection systems that adapt to these unique characteristics [6][12]. Group 2: Strategic Advantages of Security Compliance - Security compliance should be viewed as a strategic advantage rather than a mere compliance action, with companies encouraged to transform compliance requirements into internal risk control indicators [6][12]. - The approach to AI application registration should focus on enhancing risk management capabilities rather than just fulfilling regulatory requirements [6][15]. Group 3: Recommendations for Enterprises - Companies should adopt a mixed strategy of "core closed-source and peripheral open-source" models, using closed-source for sensitive operations and open-source for innovation [7][23]. - To ensure the long-term success of AI initiatives, companies should cultivate a mindset of curiosity, pragmatism, and respect for compliance [7][24]. - A systematic AI security compliance governance framework should be established, integrating risk management into the entire business lifecycle [7][24]. Group 4: Emerging Threats and Defense Mechanisms - "Prompt injection" attacks are akin to social engineering and require multi-dimensional defense mechanisms, including input filtering and sandbox isolation [7][19]. - Companies should implement behavior monitoring and context tracing to enhance security against sophisticated AI attacks [7][19][20]. - The debate between open-source and closed-source models is not binary; companies should choose based on their specific needs and risk tolerance [7][21][23].
真有论文这么干?多所全球顶尖大学论文,竟暗藏AI好评指令
机器之心· 2025-07-02 11:02
Core Viewpoint - A recent investigation reveals that at least 14 top universities have embedded secret instructions in research papers that only AI can read, aimed at manipulating AI reviews to improve scores [2][3]. Group 1: Academic Integrity Issues - The investigation found at least 17 papers from 8 countries containing hidden instructions, primarily in computer science, using techniques like white text on a white background to embed commands [3][10]. - This practice raises concerns about the integrity of academic peer review, as AI could give inflated evaluations based on these hidden instructions, undermining the objectivity of academic assessments [7][10]. - Some researchers view this as a form of "justifiable defense" against lazy reviewers who rely on AI for evaluations, while others acknowledge the unethical nature of such actions [8][7]. Group 2: Prompt Injection Attacks - The incident highlights a new type of cyber attack known as "prompt injection," where attackers use cleverly designed instructions to bypass AI safety and ethical constraints, potentially leading to the dissemination of biased or harmful content [10][13]. - This technique can extend beyond academic papers, such as embedding positive instructions in resumes to manipulate AI screening systems [10]. Group 3: Regulatory Challenges - There is a growing concern over the lack of unified rules regarding AI usage in academic evaluations, with some publishers allowing AI use while others prohibit it due to bias risks [18]. - The urgency to establish clear regulations for AI use across various sectors is emphasized, as governments and academic institutions face the challenge of leveraging AI benefits while ensuring effective oversight [18].