IUCRC Planning Grant: Tulane: Center for Applied Artificial Intelligence (CAAI)

人工智能(AI)的快速创新--在机器学习、自然语言处理、视觉和自主决策等领域--已导致越来越多的行业采用这项新技术。然而，人工智能发展的速度给以有效、安全和有益的方式将新技术转移到行业带来了根本性的挑战。这一规划拨款在学术界、产业界和政府之间建立了合作伙伴关系，以加快人工智能及其应用方面的创新、技术转让和学生培训。在此规划阶段，杜兰大学将举办为期两天的研讨会，吸引来自医疗保健、能源和软件服务行业的潜在合作伙伴。将评估几个试点项目的可行性，包括：(I)医疗记录的隐私保护分析，(Ii)资源受限环境中的人工智能，(Iii)人工智能决策中的伦理约束，(Iv)医疗和法律领域的语言处理，以及(V)多模式数据的时间序列预测。这个由行业资助的协同研究项目将为职业成长和发展进行多学科研究、教育和培训计划。由此产生的技术和培训计划将支持经济发展并改善劳动力准备。将开发多样性和K-12外展计划，以扩大未被充分代表的群体在AI中的参与。杜兰大学将维护一个项目库和网站，以传播符合数据共享协议的出版物、关键发现和软件。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。

Rapid innovation in artificial intelligence (AI) -- in areas such as machine learning, natural language processing, vision, and autonomous decision making -- has led to growing adoption of this new technology across industries. However, the speed with which AI is evolving presents fundamental challenges in transferring new technology to industry in an effective, safe, and beneficial way. This planning grant establishes partnerships among academia, industry, and government to accelerate innovation, technology transfer, and student training in AI and its applications.During this planning phase, Tulane University will conduct a two-day workshop to engage potential partners from healthcare, energy, and software services industries. Several pilot projects will be assessed for feasibility, including: (i) privacy-preserving analysis of medical records, (ii) AI in resource-constrained settings, (iii) ethical constraints in AI-decision making, (iv) language processing in medical and legal domains, and (v) time-series prediction from multi-modal data.This synergistic industry-funded research program will conduct multidisciplinary research, education, and training program for career growth and development. Resulting technologies and training programs will support economic development and improve workforce readiness. Diversity and K-12 outreach programs will be developed to broaden the participation of underrepresented groups in AI.Tulane University will maintain a project repository and website to disseminate publications, key findings, and software, consistent with data sharing agreements.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.