139 - Symbiotic Fusion: Revolutionizing Evaluation Mentorship with Seasoned Evaluators and AI Professionals"

Abstract Information: Artificial Intelligence (AI) has catalyzed unprecedented shifts within the professional arena, prompting a blend of anticipation and apprehension among practitioners. In this dynamic era of technological evolution, mentorship emerges as a crucial aspect, offering guidance amidst transformative eras. Our proposal, "Artificial Intelligence shaking the norm: Interesting times when mentors need mentorship," advocates for a paradigm shift towards a symbiotic fusion model of mentorship, bridging the wisdom of seasoned mentors in evaluation with the vitality of AI professionals, drawing inspiration from Vygotsky’s theory of learning and development. At the heart of our proposal lies a departure from conventional mentorship models towards a dynamic symbiosis, harmonizing the expertise of seasoned evaluators with the innovation of AI professionals. Rather than adhering to linear or reverse mentorship structures, we advocate for a collaborative approach that embraces mutual learning and growth. This innovative paradigm actively contributes to the overarching theme of the AEA (American Evaluation Association) 2024 conference: "Amplifying and Empowering Voices in Evaluation." By proposing a symbiotic fusion, our approach seeks to amplify voices by creating a harmonious collaboration that goes beyond traditional mentorship boundaries, thereby promoting ethical practices in evaluation. We recognize the diverse voices within our professional community, each contributing unique perspectives and strengths. Our approach empowers evaluators, whether seasoned or emerging, to bring their distinct voices to the forefront. Moreover, our proposal challenges conventional notions of mentorship by fostering a culture of inclusivity and adaptability. It acknowledges the transformative potential of AI while upholding the irreplaceable value of human expertise and intuition. By encouraging seasoned evaluators to embrace AI technologies and learn from emerging professionals, the proposal promotes a culture of continuous learning and adaptation, essential for navigating the complexities of modern-day evaluation. Practically, our proposal offers tangible strategies for fostering collaboration and skill development within the evaluation community. Acknowledging that mentorship programs facilitate cross-disciplinary learning and knowledge transfer between seasoned evaluators and AI professionals are essential. These initiatives not only enhance individual professional development but also cultivate a culture of innovation and collaboration within the evaluation profession.