Trust in AI deep dive: Secure and Ethical
As AI technology becomes more widespread, there is a growing need to prepare for vulnerabilities, cyber threats, and ethical risks. Ensuring “security and ethics” is a critical factor for companies to earn society’s trust and achieve sustainable growth.
Featured Content: A Journey Through History—Learning from the Past
Events that marked turning points in history raise questions that still resonate with today’s business leaders: the heliocentric theory, the Renaissance, the Titanic, the Silk Road, and the Age of Discovery. This series uses stories from the past as clues to understand the meaning of “trust” in the age of AI.
“Multi-AI Agent Technology,” in which AI systems collaborate like a team to carry out tasks
Technology introduction
Multi-AI agent technology enables multiple AI agents to work together like a team while continuously and safely learning from execution results, human feedback, policy updates, and specification changes. The agents identify why actions succeeded or failed, extract knowledge and best practices, and apply validated learnings to future tasks.
Why it matters
This technology reduces the need for ongoing expert-led tuning by enabling AI to continuously evolve within business operations. Organizations can build and improve AI tailored to their business needs without heavy dependence on specialized AI expertise.
Example use case
In business systems such as electronic medical records, identifying the impact of regulatory or policy changes often depends on experienced specialists who know where to look across large volumes of documentation. By applying Multi-AI Agent Technology, AI agents learn from previous search results and human feedback to identify not only directly related documents but also relevant supporting information. This reduces manual effort while enabling more comprehensive and reliable impact analysis.
“AI Security Technology” for the safe and continuous use of AI
Technology introduction
Multiple AI systems can collaborate across attack, defense, and validation functions to identify vulnerabilities, analyze potential attack patterns, assess countermeasure effectiveness, and address emerging threats such as prompt injection attacks. Additionally, for generative AI, there is a mechanism that uses attack prompts to inspect for vulnerabilities and automatically generates and applies corresponding guardrails. This makes it possible to identify potential risks inherent in the AI itself in advance and continuously enhance defensive capabilities.
Why it matters
The value of this technology is that it reduces anxiety when introducing AI into business operations, making it easier to implement and operate with confidence. As the use of AI expands, countermeasures against malfunctions, vulnerabilities, and malicious inputs become increasingly important, but it is not easy to manage these issues solely through manual efforts. By leveraging AI security technology, it becomes easier to comprehensively identify vulnerabilities and quickly implement the necessary countermeasures. As a result, even in environments with limited security experts, organizations can more easily proceed with AI adoption while mitigating risks.
“AI Ethics and Fairness Technologies” for the safe and fair use of AI
Technology introduction
AI ethics and fairness technologies are the technologies and mechanisms designed to ensure that AI is used safely and fairly in accordance with human values and social norms. While AI offers significant benefits, its use can also pose risks such as discrimination, bias, privacy violations, and impacts on human rights. These technologies aim to anticipate such risks in advance and mitigate them from the design stage onward.
Why it matters
The value this technology provides to companies is the ability to create an environment where AI can be integrated into society and business with confidence. It is not enough for AI to simply be high-performing; if it exhibits bias or a lack of transparency, it risks undermining trust from customers and society. By adopting AI ethics and fairness technologies, companies can advance the use of AI with greater reliability while addressing risks that cannot be fully mitigated through regulatory compliance alone. This is particularly valuable in sectors such as finance, public services, and healthcare, where the fairness of decision-making and accountability are paramount.
Example use case
Loan approval decisions can be influenced by differences in cultural perspectives and evaluation criteria, creating the risk of inconsistent or unfair outcomes across regions. By using AI Ethics & Fairness Technology, organizations can build AI models that reflect regional perspectives while identifying and mitigating potential bias. This helps improve fairness while maintaining decision accuracy and accountability.
Fujitsu’s initiatives in AI ethics governance
As AI continues to be implemented across society, organizations are increasingly expected to exercise self-discipline based on AI ethics—in other words, to establish “AI Ethics Governance”—to ensure the safe and secure use of AI. The Fujitsu Group has been addressing AI Ethics Governance from an early stage in Japan and is promoting a range of initiatives.
Fujitsu Group AI commitment: This document sets out the Fujitsu Group’s purpose from an AI perspective and summarizes the principles we uphold as commitments to our customers and society.
Fujitsu Group External Committee on AI Ethics: The Fujitsu Group has established a committee composed of experts from diverse fields—including not only AI but also law, life sciences, zoology, the SDGs, and consumer affairs—to ensure a broad perspective. Taking into account domestic and international social conditions, the committee discusses various topics related to AI ethics, including the President and Executive Vice Presidents, and shares the results with the Board of Directors.