Which terms are often used interchangeably with trustworthy AI?

Trustworthy AI is a concept that emphasizes the importance of developing artificial intelligence systems that are not only effective but also aligned with ethical standards, societal values, and accountability measures. In this context, the terms responsible AI and ethical AI are frequently used interchangeably with trustworthy AI because they both underscore the necessity of aligning AI technologies with principles that ensure fairness, transparency, accountability, and respect for user rights.

Responsible AI encapsulates the idea that AI should be designed and implemented in ways that are beneficial to individuals and society as a whole, while ethical AI focuses specifically on the moral implications of AI technologies and addressing issues related to privacy, bias, and social impact. Both terms highlight the importance of creating AI systems that can be trusted by users and stakeholders, ensuring a positive relationship between technology and society.

In contrast, the other options include terms that either do not carry the same ethical implications (like efficient AI and innovative AI) or refer to aspects of AI that are not necessarily related to trustworthiness (such as complex AI and transparent AI). Thus, responsible AI and ethical AI are the terms that best align with the concept of trustworthy AI.