Can artificial intelligence help answer HR’s toughest questions?
With companies continuing to shrink or outsource their human resources departments, it is tempting to augment that traditional business function with artificial intelligence. Data science holds so much promise for other fields that it makes sense for algorithms to replace imperfect human decision-making for hiring, firing, scheduling, and promoting.
But new research from Wharton professors Peter Cappelli and Prasanna “Sonny” Tambe flashes a cautionary yellow light on using AI in human resources. In their paper, “Artificial Intelligence in Human Resources Management: Challenges and a Path Forward,” the professors show how limited data, the complexity of HR tasks, fairness, and accountability pose problems for digital HR. The study, which was co-authored by Valery Yakubovich, professor at ESSEC Business School and senior fellow at the Wharton Center for Human Resources, also looks at how to remedy those problems.
On the move: Water quality and antimicrobial resistance testing goes mobile
Penn researchers have developed a mobile field laboratory allowing them to test water quality and track antimicrobial resistance in and around San Cristóbal in the Galápagos.
Penn researchers Vanessa and Alexis North are studying one of the largest collections of Egyptian blue objects ever found in the ancient Near East, shedding new light on how the world’s first synthetic pigment may have traveled far beyond Egypt.
A new role for dental providers? Rethinking where vaccines are given
Vaccinations have traditionally been administered in primary care settings or pharmacies. However, for about a decade, some states have authorized dentists to administer vaccines, and many others did so during the COVID-19 pandemic. The effectiveness of this approach has led some countries and states to expand or consider expanding the role of dental providers in delivering routine vaccines, including those against COVID-19 and the human papillomavirus (HPV), and in providing vaccine education.
Penn student develops a way for computer chips to run more efficiently
Fluid Silicon, a platform from President’s Sustainability Prize winner Nhlanhla Mavuso, allows computer chips to continuously monitor their health and self-tune as their characteristics change. The technology has the potential to reduce energy usage in data centers and improve reliability in mission-critical applications.
