  There is still a significant gap between expectations and the successful
adoption of AI to innovate and improve businesses. Due to the emergence of deep
learning, AI adoption is more complex as it often incorporates big data and the
internet of things, affecting data privacy. Existing frameworks have identified
the need to focus on human-centered design, combining technical and
business/organizational perspectives. However, trust remains a critical issue
that needs to be designed from the beginning. The proposed framework expands
from the human-centered design approach, emphasizing and maintaining the trust
that underpins the process. This paper proposes a theoretical framework for
responsible artificial intelligence (AI) implementation. The proposed framework
emphasizes a synergistic business technology approach for the agile co-creation
process. The aim is to streamline the adoption process of AI to innovate and
improve business by involving all stakeholders throughout the project so that
the AI technology is designed, developed, and deployed in conjunction with
people and not in isolation. The framework presents a fresh viewpoint on
responsible AI implementation based on analytical literature review, conceptual
framework design, and practitioners' mediating expertise. The framework
emphasizes establishing and maintaining trust throughout the human-centered
design and agile development of AI. This human-centered approach is aligned
with and enabled by the privacy by design principle. The creators of the
technology and the end-users are working together to tailor the AI solution
specifically for the business requirements and human characteristics. An
illustrative case study on adopting AI for assisting planning in a hospital
will demonstrate that the proposed framework applies to real-life applications.
