How can we prevent artificial intelligence from exacerbating systemic discrimination and leverage it as a force for good to promote social and environmental justice?

Policy experts from organizations such as the Innocence Project, prominent data scientists and others will discuss the profound, but often silent role of AI in our lives at “Women Designing the Future: Artificial Intelligence/Real Human Lives,” an upcoming conference hosted by the Murray Center for Women in Technology at New Jersey Institute of Technology.

Today’s world is driven by data – and data science is what powers the engine in this rapidly expanding global ecosystem. To address the need for talent and knowledge in this emerging field, NJIT’s Departments of Data Science and Mathematical Sciences have launched a new Ph.D. in Data Science program, dedicated to growing the field and generating top-notch data scientists. 

NJIT’s Department of Data Science in the Ying Wu College of Computing is launching two new graduate programs in artificial intelligence during the 2023 academic year, in support of the increasing demand for qualified AI engineers and analysts to facilitate problem-solving and decision-making in the digital world of the future.

The new programs will address the dramatic growth and proliferation of AI technologies into the mainstream, such as the recent debut of the ChatGPT application.

NJIT hosted the ninth New Jersey Big Data Alliance Symposium, bringing together nearly 200 experts from academia, government and industry to share ideas about the present state and future trends of their field.

Attendees represented a gamut of careers, not just programmers, which the panelists said indicates that the importance of artificial intelligence, data science and machine learning applies to nearly all aspects of life in the 21st century. Many students were also present.

Sports provide an everyman's opportunity to explain statistical analysis, and the rejuvenated NJIT Data Science Club is all-in.

The club already has more than a dozen members and is led by action-hungry graduate students Jake Byford and Parth Patel, president and vice president respectively, who both stepped up when most members of the previous Machine Learning Club graduated last year.

Reflect for a moment on how you'd manage your terabyte-scale hard drive if the data were literally one million times bigger.

Then you'd be working with exabytes, which is the reality for supercomputer users at federal laboratories across the country, one of which is relying on Assistant Professor Qing Liu to mitigate their information storage problems by studying new methods of data reduction.