Undergraduate programs in Nazareth's interdisciplinary Institute for Technology, Artificial Intelligence, and Society (ITAS) infuse ethics into each course. Be uniquely prepared to advance and navigate the future of artificial intelligence through Nazareth’s strong liberal arts foundation, professional preparation, hands-on internships and experiences, and ideals of service to the local and global community.
Be ready to fill new jobs in companies, government agencies, and nonprofits — well prepared with ethical principles, governance practices, and social analysis strategies to guide policies and practices to create a just and equitable technological future.
Become a business/nonprofit tech project leader or innovator
Major: Business, artificial intelligence, and innovation
Become a data analyst who uses tech to inform better decisions
Major: Ethical data science
Become a policy maker, tech journalist or lawyer, compliance expert, or advocate in health care, education, business, non-profit, or finance.
Major: B.A., Technology, Artificial Intelligence, and Society
Add a minor
Understanding data and analytics gives you a leg up and relevant expertise whether you’re interested in management, government, public health, education, communications, finance, marketing, politics, or other fields.
From its founding, Nazareth has been committed to social justice, has continually evolved to address societal/community needs, and challenges students to be innovators and changemakers.
Nazareth is among three dozen members of the Public Interest Technology University Network — alongside Massachusetts Institute of Technology, Carnegie Mellon University, and Stanford University — committed to building the nascent field of public interest technology and growing a new generation of civic-minded technologists.
Who will be ready to fill new jobs in companies, government agencies, and nonprofits, prepared with ethical principles, governance practices, and social analysis strategies to create a technological future that's healthy, positive, and fair?
“AI systems are trained using data that inevitably reflect the past. If a training data set contains inherent biases from past human decisions, these biases are codified and amplified by the system.” — From “Artificial intelligence can deepen social inequality. Here are 5 ways to help prevent this,” by Tiberio Caetano, Bill Simpson-Young, University of Sydney, theconversation.com
“Implementing ethical data science is as important as ensuring a self-driving car knows when to put on the brakes.” — Eric Siegel, author of the bestselling Predictive Analytics: The Power to Predict Who Will Click, Buy, Lie, or Die and a leading consultant on machine learning
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