2024 Conference on Artificial Intelligence, Machine Learning, and Business Analytics

Location: Yale School of Management

Over five billion people worldwide actively engage with AI/ML, Metaverse, bots, machine-to-machine connected solutions, 5G, AR/VR, cryptocurrency, and blockchain. This conference will explore how digital, social, and mobile technologies affect business models, customer behavior, management strategies, public policy, and social changes at large. Exemplar topics include:

Human-AI interactions, AI automation augmentation/ Metaverse/ Cryptocurrency/ Robotics AI adoption and user behavior/AI voice-mining for promo and recommendations/ Reinforcement learning/ AIML with social media data/ Multi-modal algorithms for images, voice, and video data/ Bot trading and AI advisor in financial markets/AI for ad creatives and publishers/ AI applications in worker training, hiring, supervising, HR management, business strategies/ ML applications in fintech, pharma, labor market, and e-commerce/ Deepfake algorithms, privacy and ethics of new technologies/ Data breach and security/ Blockchain applications/ Future of work and unemployment/ Big data IoT, 5G, AR, and VR applications/ Public policy and regulation of AI technologies/ AI algorithm bias and fairness, interpretable ML/ Machine learning for causal inference/ ML and deep learning for statistics methods/ Machine learning for empirical IO/ Deep reinforcement learning for microeconomics theory / Healthcare applications of ML/ Multi-armed bandits for online advertising and pricing/Personalized dynamic recommendations/ AIML in B2C and B2B markets

Submission logistics: Submit either a 3-page abstract, full paper, or 10 PPT slides to Google form link.

Submission deadline: October 1, 2024. Acceptance notification date: November 1, 2024 (Acceptance of submission requires one co-author to register and present at the conference)

Any question, please contact: Xueming.Luo@temple.edu, K.Sudhir@yale.edu, Mansour.Shahhosseini@temple.edu, aimlconf2024@gmail.com.

This annual conference was hosted at Chicago Booth in 2014, NYU Stern in 2015 and 2017, Stanford GSB in 2016, CMU Tepper in 2018, Temple Fox in 2019 and 2023, virtual on Zoom in 2020 and 2021, and Harvard HBS in 2022. It has attracted a vibrant group of professors, industry people, and PhD students working on cutting-edge AI/ML models and data in inter-disciplinary fields. This conference serves as an intellectual bridge for AI/ML researchers across computer science, economics, statistics, marketing, management, finance, strategy, IS, healthcare, education, public policy, and others. Click here for the program of 2022 conference at HBS: https://www.hbs.edu/faculty/research/seminars-conferences/Pages/event.aspx?conf=AI-machine-learning-business-analytics-conference