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

人工智能（AI）在机器学习、自然语言处理、视觉和自主决策等领域的快速创新，导致越来越多的行业采用这种新技术。然而，人工智能的发展速度对以有效、安全和有益的方式将新技术转移到工业中提出了根本性的挑战。这项计划拨款在学术界、工业界和政府之间建立了伙伴关系，以加速人工智能及其应用的创新、技术转让和学生培训。在这一规划阶段，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。将评估若干试点项目的可行性，包括：(i)医疗记录的隐私保护分析；（ii）资源受限环境下的人工智能；（iii）人工智能决策中的道德约束；（iv）医学和法律领域的语言处理；以及(v)多模态数据的时间序列预测。这个协同工业资助的研究项目将进行多学科研究、教育和职业发展培训项目。由此产生的技术和培训项目将支持经济发展并提高劳动力准备水平。将制定多元化和K-12外展计划，以扩大代表性不足的群体在人工智能领域的参与。杜兰大学将维护一个项目存储库和网站，以传播出版物、关键发现和软件，与数据共享协议保持一致。该奖项反映了美国国家科学基金会的法定使命，并通过使用基金会的知识价值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.