The raise of computational technologies and artificial intelligence has brought critical risks regarding to the computational fraud, unethical practices, complexity exploitation, pseudo-AI and many other forms of biases. In the sophisticated space of coding and process design, various kinds of fraudulent practices can be obscured from the visibility of senior management or organization’s clients. The knowledge gap between data analytics and engineering teams and their executives is considerably large in vast majority of organizations. Accordingly, the quality and soundness of computational functions may need to be investigated and monitored by an external and independent auditor to eliminate any fraudulent activities against the organization or its customers as well as improving the efficiency of services.

As an independent auditor, our Responsible AI unit investigates analytics teams, computational intelligence services and other functions as client’s request. Our services are conducted in confidential basis, and our auditors do not require any confidential data. The structure of our investigation is discussed and planned with client to ensure the security of any competitive information. There are ways to filter and obfuscate confidential data if it is really necessary. Most computational intelligence systems can be tested by its product (outcome) or general working principles. In certain cases, we advise on ways to conduct particular investigations to senior management. Some requests may not be met in our Responsible AI program, and we kindly decline working on such projects.