Engaged Research Around Data Science and Artificial Intelligence with Implications for Workforce Development

数据科学和人工智能的低概率、长期潜在影响受到了不成比例的关注。与此同时，人们现在也感受到了实质性的负面影响。这种脱节的一种解释是，大型科技公司在种族、性别和地理上与感受到这些负面影响的人们--尤其是种族和少数民族以及女性--格格不入。该奖项将支持在罗格斯大学纽瓦克举行的一次会议，会议的中心是围绕数据科学和人工智能进行的研究的变革潜力。(从事学术是指将研究、教学和公共服务结合在一起。从事人工智能和数据科学研究的人不仅强调算法的重要性，而且强调他们接受培训的数据的重要性，他们部署的问题，他们影响的社区，以及从事工作的人。)该奖项反映了NSF的法定使命，并通过使用基金会的智力优势和更广泛的影响审查标准进行评估，被认为值得支持。

Disproportionate attention is paid to low-probability, long-term potential implications of data science andartificial intelligence. Meanwhile, substantial negative impacts are being felt now. One explanation forthis disconnect is the stark racial, gender, and geographic detachment of large technology companies from the people--disproportionately racial and ethnic minorities and women--who feel these negative effects. This award will support a conference at Rutgers University-Newark centered around the transformative potential of engaged research around Data Science and Artificial Intelligence. (Engaged scholarship refers to integrating research, teaching, and public service. Engaged research in AI and Data Science emphasizes the importance of not just algorithms, but the data they are trained on, the problems they are deployed on, and the communities they affect, as well as the people who do the work.)This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.