Business Librarian
AI at Work / Aug. 2023
Employees are "more optimistic than concerned" about how generative AI will affect the workplace, according to a survey released by BCG in June (Beauchene, et al., 2023). For August 2023, here are 12 books from JMU’s print and electronic collections that examine artificial intelligence at work.
Find more materials about this topic by searching for "artificial intelligence" AND (workplace OR business) in Library Search.
Happimetrics : leveraging AI to untangle the surprising link between ethics, happiness and business success
Lays out a proven and tested method for reaching the goal of employee happiness, analyzing individuals' communication patterns, and making them self-aware by mirroring their behaviour back to them in a privacy-respecting way.
The Frontlines of Artificial Intelligence Ethics
Explores how AI can support expert, creative, and ethical decision making in both people and virtual human agents.
The AI Marketing Canvas
Offers a direct, actionable plan CMOs can use to map out initiatives that are properly sequenced and designed for success--regardless of where their marketing organization is in the process of thinking about artificial intelligence and machine learning.
The future of recruitment : using the new science of talent analytics to get your hiring right
Describes the modern technologies and ideas that are changing recruitment, many driven by artificial intelligence.
Business Forecasting
Learn about the role played by machine learning and AI in the forecasting process and discover brand-new research, case studies, and thoughtful discussions covering an array of practical topics.
AI Literacy
Focuses on AI literacy, the simple act of understanding the abilities and limitations of AI systems.
Machine Learning for Auditors
This is a practical book with implementation recipes that demystify AI, ML, and data science and their roles as applied to auditing.
The Executive's Guide to AI and Analytics
Focuses on leadership decisions that augment data literacy, organizational architecture, and AI case studies.
AI for Finance
Explains the promise of AI, as well as its limitations, in terms of knowledge representation, modelling, simulation and machine learning.
Artificial Intelligence: An Introduction for the Inquisitive Reader
Guides readers through the history and development of AI, from its early mathematical beginnings through to the exciting possibilities of its potential future applications.
Artificial Intelligence for Capital Markets
Throws light on the application of AI/ML techniques in the financial capital markets, including the challenges posed by the AI/ML techniques as these are prone to "black box" syndrome.
Impact of Artificial Intelligence on Organizational Transformation
Discusses the impact of AI on organizational transformation which is a mix of computational techniques and management practices, with in-depth analysis about the role of automation & data management, and strategic management in relation to human capital, procurement & production, finance, and marketing.