The quality required in the AI era is the establishment of individuality (bias). It is one's own will to move toward a concrete purpose, and also the building of a mechanism for growing while establishing one's own place in society.
From now on, AI will be at the center of business processing. AI falsehoods ("fakes") are said to be a major problem, but a perfect AI free of bias, which is one cause of falsehoods, will never appear.
AI is a computational service designed to calculate probabilities inferable from historical track records (computing logical possibilities), and its ultimate quality is determined by "data." However, compiling datasets that comprehensively represent every facet of existence in the world is impossible. Furthermore, the experiments and research required—in other words, the requisite data—fundamentally differ based on the specific solution sought. When AI does not perform as expected, it is because our training of the AI is flawed. It is not the fault of the AI.
In short, the work required of people, and the quality they must achieve to do it, is generally to state clearly the direction (individuality) that oneself or one's organization wants to take, and to give AI the education this requires, accurately and on the basis of one's own (the organization's) standards.
Furthermore, individuality is, after all, one person's wish and self-willed thought, and it is not always accepted by organizations or society. How one reconciles it with the world, or, conversely, stays sharp and keeps running on one's own, will differ from case to case. Even so, building a governance framework in which diverse individualities (people and AI) look at one another with a critical spirit, debate, and move toward a single goal is what is required of us and of organizations that are not necessarily perfect, and it is a challenge to be addressed in parallel with building individuality.
The very first step is securing the time to think—which begins by handling immediate operational tasks with composure and breathing room.
Ideally, making operations IT-enabled should serve business goals. Yet cases are seen where people proceed without really understanding the purpose (the operational quality to be achieved), or find IT difficult to grasp, and can do no more than carry out their work as they are told.
In response to this challenge, given that operational quality and efficiency are now expected to be evidence-based, we draw on know-how built over many years of working on accountability for computerized-system quality. We provide, free of charge, knowledge and wisdom that lead to solving immediate problems and improving efficiency, and for those who need individual advice, we think together as a partner about IT implementation and its quality assurance, and so contribute to the development of society.
Through our service delivery, our ultimate quality objective is to create cognitive space and peace of mind for our clients, fostering true leadership over AI systems as they execute quality management with purpose-driven clarity. Guided by this standard, we dedicate ourselves to our daily practice.
The three circles depict a practitioner engaged in Zazen meditation, representing a dedicated posture of pursuing truth and deeply probing one's own world—both society and organization.
The lines connecting the circles signify systems, symbolizing the structural patterns and discipline ("kata") an organization builds, as well as interconnectivity and harmony with stakeholders.
Finally, the lotus flower that cradles these elements represents supporting new creation across society and organizations, culminating in the flourishing of magnificent blossoms.