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Thomas A. Kochan, Ben Armstrong, Julie Shah, Emilio J. Castilla, Ben Likis, and Martha E. Mangelsdorf | An MIT Exploration of Generative AI | 3/27/2024
The purpose of this article is to identify ways to bring workers’ voices into the development and use of generative artificial intelligence …
Thomas Kochan and John S. Ahlquist | Harvard Business Review | 10/7/2024
Interest among the American workforce in unions has increased significantly in the past five years. Our own survey of more than 2,500 frontline U.S. workers finds that younger respondents (ages 30 …
Thank you for joining us for LinkedIn & AI for Job Searching: 10X Your Chances of Success. For those of you who may have missed the workshop or would like to revisit the content, we’re delighted to share the following resources:
Hardworking, geeky, adept at math — these are some of the stereotypes that American culture attaches to East Asians, such as ethnic Chinese, Japanese, Koreans. But East Asians aren’t often portrayed as wells of creativity, a …
To combat the negative effects of climate change, making a transition to green energy is vital. But what will happen to people whose jobs are significantly linked to fossil fuel use? And what policy options …
Martha Mangelsdorf and Erin Kelly | MIT Sloan | 10/17/2024
The Research:
Do policies that make it easier for employees to juggle work and family needs increase the ability of women to advance in organizations? New research from Eunmi Mun, Shawna Vican, …
The best leaders are those who continue learning and growing. Leadership and management training are now mainstream ideas, with nearly 500 million search results on Google. Frequently, we hold workshops for all levels …
Contrary to popular belief, none of the major applicant tracking systems currently on the market deploy AI in any meaningful way. That’s not to say the AI revolution isn’t coming; it’s just not yet widely adopted inside corporate …
Talking with retail executives back in 2010, Rama Ramakrishnan came to two realizations. First, although retail systems that offered customers personalized recommendations were getting a great deal of attention, these systems often provided little …