Avoiding AI Armageddon with metrologically-oriented psychometrics

Abstract

Abstract. With the rapid advancement of powerful artificial intelligence, visionaries such as Stephen Hawking warn that we could be architecting our own extinction. Visionary efforts such as the OpenAI project, and the Ethics and Governance of Artificial Intelligence Fund are key lifeboats to proactively engineer ethics into our technological children, and create other safety strategies to mitigate the likelihood of dangerous AI. Engineering a science of safe AI requires, as a foundational element, an approach to measurement that allows subsequent risk analysis and mitigation methods to be evaluated with meaningful, linear, accurate and precise methods that span a variety of disciplines that contribute to risk variance in organizational, process and team outcomes.

The Era of Artificial Intelligence Deception: Unraveling the Complexities of False Realities and Emerging Threats of Misinformation

“…Future studies could investigate the factors influencing the effectiveness of XAI techniques and the potential trade-offs between explainability and other desirable characteristics of AI systems, such as accuracy and efficiency. The strategies for detecting, measuring, and mitigating AI unpredictability [97,98,100] discussed in the reviewed studies show promise. However, there remains a need for more comprehensive frameworks and guidelines to ensure their consistent and practical application across various AI systems and domains.…”

“…By placing a premium on transparency and the ability of users to understand AI decision making, we can engineer AI systems that are powerful and efficient but also user-friendly and trustworthy. Furthermore, strategies such as human visual explanations, bias mitigation techniques, and interdisciplinary approaches based on metrology and psychometrics have shown promise in detecting, measuring, and mitigating AI unpredictability [97][98][99][100]. Synergy among AI developers, cognitive scientists, ethicists, and educators is vital to ensure that AI is a supportive adjunct to human cognition.…”