Although tattoo recognition technology is helpful to identify perpetrators based on their body art, critics voice concerns with false identification.

Shallowfake and deepfake media are undermining individuals and deceiving viewers—but not much can be done to hold creators accountable.

Hiring managers stereotype and comparatively offer less jobs to veterans who share their PTSD status over social media.

Jason Thatcher provides a three-step guideline to help researchers identify and restore outdated research constructs.

Data from digital feedback platforms indicate that an employee’s level of influence and number of workplace connections both shape the type of feedback they give.

Challenges with using multiple-sourced EHR platforms are contributing to undue clinician stress, burnout and turnover.

Kuang-Yao Lee has developed a new graphical modeling technique that can visualize relationships among multiple, large sets of non-normally distributed data.

Airbnbs have exploded across the U.S., having an impact on everything from housing prices to local tourism. However, its effect on crime rates is less well understood.

Advances in healthcare related to artificial intelligence comes with some significant risks. Are there legal implications to follow?

Online trolls may be working around the verification process to add legitimacy to the fake news spread.

Subodha Kumar proposes a framework that helps physicians personalize breast cancer treatment for patients and reduce their radiotherapy risks.

Outdated U.S. government IT systems were exposed as sub-optimal during COVID-19. How can governments replace their IT systems in cost-effective ways?

Cory Ng published a book that helps accountants incorporate AI initiatives to increase productivity and profitability.

By taking into account people’s behavior during waves of infections, policymakers can strategically optimize the timing and intensity of public health interventions.

Yiwei Chen proposes a novel learning algorithm that identifies how to optimally price limited inventory products when market demand is unknown.