It’s that time of year at the university when we’re working on our PEPs (Performance Evaluation and Planning forms) and I’m thinking about how grateful I am to have such smart staff who really care about their work, their colleagues, and the people they serve, as we advance technology across the libraries. In contrast to some corporate environments, the process here really does aim to help us improve, rather than rank us as a setup for “resource actions” (firings). This excellent article, The Feedback Fallacy by Marcus Buckingham and Ashley Goodall, reminds me to emphasize the things people do well, and encourage them to build on their strengths.
Attuned to ethical practices within organizations, I’m also excited about increasing awareness of ethics in the effects of the technologies we produce. Justin Sherman, co-founder of the Ethical Tech initiative here at Duke, did a stimulating talk at the Edge Workshop this month about ethical issues that surround technology, such as search engine bias, and AI tools that judges use to determine sentencing for crimes. Justin recommends this podcast, with Christopher Lydon on Open Source, called Real Education About Artificial Intelligence. Library staff are participating in the Kenan Institute for Ethics book club program (KIE), where the spring selection is Algorithms of Oppression: How Search Engines Reinforce Racism by Safiya Umoja Noble.
And, I’m pleased to exercise my hiring mantra, “smart people who care”, which has served me well for over 30 years, as we’re recruiting candidates with I/T and team leadership experience for a new position, Computing Services Supervisor.
Happy Spring!
Laura Cappelletti
Director, Information Technology Services
The feedback fallacy is a great book, and I hope more middle management read it. Before I was in leadership positions I was always confounded how we spent 90% of the review on 1 or 2 weak points and 10% on all the home runs I had hit. At least we’re moving in the right direction. BTW, all out supervisors and managers are now required to read the feedback fallacy and apply it to QR’s.