News Room

New research has found a way to leverage the power of artificial intelligence (AI) to more efficiently screen out bad ideas to focus on only good ideas in the crowdsourcing process within ideation. More specifically, the research has arrived at a simple model for screening out ideas that experts might consider "bad." Importantly, managers can adjust their model to determine how many bad ideas to screen out, without losing good ones. The research also found a single new predictor that screens out atypical ideas and preserves more inclusive and rich ideas.

Organizations are rushing to create hyperlocal supply chains by using products that are sourced and made in specific areas, down to a neighborhood level.

As Washington putters on AI watermarking legislation, TikTok and Adobe are leading the way with transparency standards.

The newspaper publisher is the first major news outlet to sue the AI creator. While the suit might not reach court, it still has a significant impact on the AI community.

­When and where do we sound the privacy alarm with AI? Where do we draw the line? Is it even possible to stop what’s already in motion or do we just have to manage the consequences? And on the line to discuss these issues is Temple professor Subodha Kumar. Subodha is the Founding Director of the Center for Business Analytics and Disruptive Technologies at Temple University’s Fox School of Business.