Annotated Bibliography: The Future of Artificial Intelligence
Michael Haenlein and Andreas Kaplan, professors at ESCP Business School, provide a broad overview of AI’s evolution from symbolic to data-driven approaches. Their central claim emphasizes the importance of preparing for rapid technological shifts. The article is a strong B-TEAM source, offering Background and Theoretical context. It is especially valuable for its clear timeline and business-oriented insights, though it may be less technical than other sources.
Haenlein, Michael, and Andreas Kaplan. “A Brief History of Artificial Intelligence: On the Past, Present, and Future of Artificial Intelligence.” California Management Review, vol. 61, no. 4, 2019, https://doi.org/10.1177/0008125619864925.
Luciano Floridi, an Oxford-based philosopher, reviews key texts in AI ethics, emphasizing the necessity of philosophical scrutiny in shaping AI’s societal role. His brief article highlights the ethical dimension of AI development, making it relevant for B-TEAM Theories and Ethics. Its short format limits depth but provides a thoughtful entry point into the ethical discourse surrounding AI.
Floridi, Luciano. “Preparing for the Future of Artificial Intelligence.” Minds and Machines, vol. 32, 2017, pp. 285–287.
Neil Selwyn, an educational researcher from Monash University, critiques optimistic narratives around AI in education. He argues that AI risks exacerbating inequality and advocates for critical policy intervention. This source is significant for its ethical and methodological insights (B-TEAM: E and M), countering techno-enthusiastic perspectives.
Selwyn, Neil. “The Future of AI and Education: Some Cautionary Notes.” European Journal of Education, 17 Oct. 2022, https://doi.org/10.1111/ejed.12532.
Kaplan explores the role of AI in transforming higher education, proposing that institutions must rethink educational goals in light of technological change. This chapter contributes to B-TEAM Background and Applications, offering institutional-level foresight. While speculative, it frames essential questions about the purpose and adaptability of education in an AI-driven world.
Kaplan, Andreas. “The Future of AI or AI for the Future.” Digital Transformation and Disruption of Higher Education, 2020, pp. 20–37.
These authors, affiliated with Indian dental research institutions, review AI’s integration into diagnostics and treatment in dentistry. They claim that AI will improve dental precision and outcomes. The source is narrowly focused but illustrates the specialized applications of AI (B-TEAM: A and M). It lacks broad ethical or interdisciplinary commentary but is strong in clinical relevance.
Tandon, Divya, Jyotika Rajawat, and Monisha Banerjee. “Present and Future of Artificial Intelligence in Dentistry.”
This chapter speculates on AI’s impact on labor, decision-making, and society. While the author is unspecified, the work serves as a futurist projection with interdisciplinary roots. It provides Background and Theoretical framing (B-TEAM: B and T) but lacks empirical grounding. Still, it’s useful for envisioning near-future AI scenarios.
“What the Near Future of Artificial Intelligence Could Be.” The Future Information Society, 2020, pp. 127–142.
Erik Cambria and colleagues propose seven core areas necessary for the future of human-centered AI, including emotion and common-sense reasoning. Their technical and conceptual depth offers robust value in B-TEAM Theories and Methods. The article is dense but structured well, with helpful visuals and summaries, making it a rich resource for advanced study.
Cambria, Erik, et al. “Seven Pillars for the Future of Artificial Intelligence.” IEEE Intelligent Systems, IEEE.
This technical chapter explores implementing AI via Microsoft’s .NET framework, focusing on speech and language APIs. Though aimed at developers, it offers insight into how AI is being operationalized (B-TEAM: A and M). Its practical coding orientation limits philosophical depth but is valuable for understanding hands-on AI applications.
“Artificial Intelligence for .NET: Speech, Language, and Search.” The Future of AI, 2017, pp. 247–259.
Susan Schneider, a philosopher and cognitive scientist, investigates how AI might challenge human consciousness and identity. Her book explores the ethical and existential stakes of advanced AI, especially regarding mind-uploading and neural enhancement. It contributes deeply to B-TEAM Theories and Ethics, offering thoughtful philosophical grounding and accessible discussion. Supplementary features include notes and a glossary.
Schneider, Susan. Artificial You: AI and the Future of Your Mind. Princeton University Press, 2019.