My name is David Stanton Robinson, EdD. As the President of DSRobinson & Associates, I have over 35 years of expertise in consulting and evaluation in the mental health, early childhood education, healthcare, and higher education sectors. I’ve collaborated with Rhode Island public health groups, and I’m a member of the Evaluation Network of Rhode Island.
I’ve been using AI to increase equity in my evaluation and consulting. AI has revolutionized my workflow, so let me share my journey with you.
At the beginning of each project, it’s essential to accurately understand the problem. AI has been helpful in synthesizing the different perspectives of diverse community members and partners. I worked on a project focusing on substance use disorders and behavioral health emergencies in a rural community. AI made the equity issues much more transparent (ChatGPT) and has been useful for editing the vision and mission statements, acting as an editor to ensure accuracy and readability (Lex-page). It summarizes worksheet data, leaving more time for explaining results to diverse communities (Numerous.ai).
AI has also been invaluable as a research assistant for the YMCA to incorporate substance abuse prevention and mental health education into their youth programs (ChatGPT) and edited our reports (Canva, Scalenut, ResearchRabbit, Scholarcy) by simplifying them so that a 5th grader can understand (Guidde for videos). AI played a pivotal role in enhancing our surveys and interviews, recommending more precise language and additional questions to engage underserved groups (ChatGPT), as well as broadening our data collection approaches for patients from diverse backgrounds (ResearchRabbit, Scholarcy).
AI has revolutionized my work, making it more efficient and effective at increasing equity, one small step at a time. One must always be aware of the potential for AI search results to incorporate biases or be untruthful based on the training data, which tends to be biased. Carefully review all results from AI tools (@MushtaqBilalPhD, ChatGPT). AI applications are best used as collaborator-research assistants.
By leveraging AI in my evaluation and consulting work, I have experienced a transformative shift in my workflow that has significantly contributed to increasing equity. AI has proven invaluable at the beginning of each project, helping me synthesize multiple perspectives and gain a clearer understanding of complex issues. It has streamlined various tasks, such as creating project vision and mission statements, developing standard operating procedures, and designing intervention strategies. AI has also facilitated research efforts in areas like substance abuse prevention and mental health education, and it has enhanced the clarity and accessibility of our reports and assessments. Furthermore, AI has played a crucial role in diversifying our data and ensuring that our surveys and interviews are comprehensive and inclusive. I always review the results of AI searches and AI suggestions for bias and credibility. Overall, the integration of AI has revolutionized my work, making it more efficient and effective in promoting equity.
Conducting Equitable Evaluations by Katrina Bledsoe and Rucha Londhe
How we incorporate diversity and inclusion in evaluation by Eyerusalem Tessara
Follow Mushtaq Bilal on X (formerly Twitter) here for sound advice on using AI for writing, revising and editing drafts of blogs and reports
AI links to aid equity in evaluation: ChatGPT for ideas, reviewing drafts, outlines. Bing and Bard are great too
Note-taking for meetings and saving websites and ideas
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