References

Comprehensive categorized bibliography for the autonomous business research project

Comprehensive Bibliography

This bibliography collects all sources referenced throughout the autonomous business research project, organized by category. Sources are listed alphabetically by first author within each category.

  1. Bryson, J., Diamantis, M., & Grant, T. (2017). “Of, For, and By the People: The Legal Lacuna of Synthetic Persons.” Artificial Intelligence and Law, 25(3), 273-291.

  2. Calo, R. (2015). “Robotics and the Lessons of Cyberlaw.” California Law Review, 103(3), 513-563.

  3. Calo, R. (2018). “Artificial Intelligence Policy: A Primer and Roadmap.” U.C. Davis Law Review, 51(2), 399-435.

  4. Chopra, S., & White, L. (2011). A Legal Theory for Autonomous Artificial Agents. University of Michigan Press.

  5. DuPont, Q. (2017). “Experiments in Algorithmic Governance: A History and Ethnography of ‘The DAO.’” Bitcoin and Beyond, Routledge.

  6. European Parliament. (2017). “Civil Law Rules on Robotics.” Resolution 2015/2103(INL).

  7. European Parliament. (2024). “Regulation (EU) 2024/1689 laying down harmonised rules on artificial intelligence (EU AI Act).”

  8. Grimmelmann, J. (2005). “Regulation by Software.” Yale Law Journal, 114(7), 1719-1758.

  9. Hubbard, F. P. (2011). “Do Androids Dream? Personhood and Intelligent Artifacts.” Temple Law Review, 83(2), 405-474.

  10. Lessig, L. (2006). Code: And Other Laws of Cyberspace, Version 2.0. Basic Books.

  11. Pagallo, U. (2013). The Laws of Robots: Crimes, Contracts, and Torts. Springer.

  12. Solum, L. (1992). “Legal Personhood for Artificial Intelligences.” North Carolina Law Review, 70(4), 1231-1287.

  13. Turner, J. (2019). Robot Rules: Regulating Artificial Intelligence. Palgrave Macmillan.

  14. Vladeck, D. (2014). “Machines Without Principals: Liability Rules and Artificial Intelligence.” Washington Law Review, 89(1), 117-150.

  15. Zibner, J. (2024). “The Corporate Person Problem: AI Entities and the Limits of Legal Personhood.” Stanford Technology Law Review, 27(1).

  16. Wright, R. W. (2024). “Causation, Responsibility, and Artificial Agency.” Tort Law Review, 32(2), 145-189.

Regulatory and Standards

  1. Financial Conduct Authority. (2025). “Regulatory Sandbox: Lessons Learned Report.” London.

  2. IEEE Standards Association. (2023). “P2863: Recommended Practice for Organizational Governance of Artificial Intelligence.”

  3. IEEE Standards Association. (2023). “P7000: Model Process for Addressing Ethical Concerns During System Design.”

  4. Marchetti, B. (2024). “Graduated Regulatory Frameworks for Autonomous Systems.” European Journal of Risk Regulation, 15(2).

  5. Monetary Authority of Singapore. (2024). “AI Regulatory Sandbox: Outcomes and Lessons.”

  6. OECD. (2024). “AI Policy Observatory: Regulatory Approaches to Autonomous Systems.”

  7. OECD. (2024). “BEPS 2.0: Pillar Two Global Minimum Tax Implementation.” OECD Tax Policy Studies.

  8. OECD. (2024). “OECD AI Principles.” https://oecd.ai/en/ai-principles

  9. Scherer, M. (2016). “Regulating Artificial Intelligence Systems: Risks, Challenges, Competencies, and Strategies.” Harvard Journal of Law & Technology, 29(2), 353-400.

  10. Semiconductor Industry Association. (2025). “Global Semiconductor Market Trends and National Strategies.”

  11. Surety & Fidelity Association of America. (2024). “Performance Bonds: Principles and Practice.”

  12. UK Government. (2024). “Pro-Innovation Approach to AI Regulation.” White Paper Update.

Technical and AI Research

  1. Amodei, D., et al. (2016). “Concrete Problems in AI Safety.” arXiv:1606.06565.

  2. Bai, Y., et al. (2022). “Constitutional AI: Harmlessness from AI Feedback.” Anthropic Research.

  3. Bostrom, N. (2014). Superintelligence: Paths, Dangers, Strategies. Oxford University Press.

  4. Bowman, S., et al. (2022). “Measuring Progress on Scalable Oversight for Large Language Models.” Anthropic Research.

  5. Buterin, V. (2014). “DAOs, DACs, DAs and More: An Incomplete Terminology Guide.” Ethereum Blog.

  6. Christiano, P. (2019). “What Failure Looks Like.” AI Alignment Forum.

  7. Hernandez-Lobato, D., et al. (2016). “Predictive Entropy Search for Multi-objective Bayesian Optimization.” Proceedings of ICML.

  8. Hubinger, E., et al. (2019). “Risks from Learned Optimization in Advanced Machine Learning Systems.” arXiv:1906.01820.

  9. Malone, T. W., et al. (2017). “Harnessing Crowds: Mapping the Genome of Collective Intelligence.” MIT Sloan Management Review.

  10. Mitchell, M. (2009). Complexity: A Guided Tour. Oxford University Press.

  11. Rahwan, I., et al. (2019). “Machine Behaviour.” Nature, 568, 477-486.

  12. Russell, S., & Norvig, P. (2020). Artificial Intelligence: A Modern Approach. 4th Edition. Pearson.

  13. Shahriari, B., et al. (2016). “Taking the Human Out of the Loop: A Review of Bayesian Optimization.” Proceedings of the IEEE, 104(1), 148-175.

  14. Swan, M. (2015). Blockchain: Blueprint for a New Economy. O’Reilly Media.

  15. Wooldridge, M. (2009). An Introduction to MultiAgent Systems. John Wiley & Sons.

  16. “What are multi-agent systems?” SAP Insights, 2025. SAP

Business and Industry

  1. Brynjolfsson, E., & McAfee, A. (2014). The Second Machine Age. W.W. Norton & Company.

  2. Brynjolfsson, E., et al. (2019). “GDP-B: Accounting for the Value of New and Free Goods in the Digital Economy.” NBER Working Paper 25695.

  3. Danielsson, J., et al. (2024). “Artificial Intelligence and Systemic Risk.” Journal of Financial Stability, 71.

  4. Davenport, T. H., & Ronanki, R. (2018). “Artificial Intelligence for the Real World.” Harvard Business Review, 96(1), 108-116.

  5. Deloitte. (2025). “Why Autonomous AI Demands All-of-Business Collaboration.” Deloitte

  6. Erdelic, T. (2025). “International Coordination on AI Governance.” Journal of International Economic Law.

  7. Korinek, A., & Stiglitz, J. (2021). “Artificial Intelligence, Globalization, and Strategies for Economic Development.” NBER Working Paper 28453.

  8. Lloyd’s of London. (2025). “Insuring Autonomous Systems: Emerging Risk Framework.”

  9. Madison Technologies. (2025). “Challenges of Agentic AI.” Madison Technologies

  10. Marr, B. (2021). “The 10 Best Examples Of How Companies Use Artificial Intelligence.” Forbes.

  11. Nordhaus, W. (2021). “Are We Approaching an Economic Singularity?” American Economic Review, 111(4), 1056-1090.

  12. Norges Bank Investment Management. (2025). “Government Pension Fund Global: Annual Report 2024.”

  13. Partnoy, F. (2017). “What’s (Still) Wrong with Credit Ratings.” Washington Law Review, 92(3).

  14. Rifkin, J. (2014). The Zero Marginal Cost Society. Palgrave Macmillan.

  15. Swiss Re Institute. (2025). “Insuring Autonomous Systems: Market Analysis and Risk Frameworks.”

  16. Tapscott, D., & Tapscott, A. (2016). Blockchain Revolution. Penguin.

  17. Tapscott, D., & Tapscott, A. (2017). “The Blockchain Economy.” Harvard Business Review.

  18. University of San Diego. (2025). “10 Real-Life Examples of how AI is used in Business.” USD

Ethics, Philosophy, and Society

  1. Autor, D. (2015). “Why Are There Still So Many Jobs?” Journal of Economic Perspectives, 29(3), 3-30.

  2. Botsman, R. (2017). Who Can You Trust? PublicAffairs.

  3. Case, A., & Deaton, A. (2020). Deaths of Despair and the Future of Capitalism. Princeton University Press.

  4. Cath, C., et al. (2018). “Artificial Intelligence and the ‘Good Society.’” Science and Engineering Ethics, 24(2), 505-528.

  5. Floridi, L., et al. (2018). “AI4People – An Ethical Framework for a Good AI Society.” Minds and Machines, 28(4), 689-707.

  6. Friedman, M. (1962). Capitalism and Freedom. University of Chicago Press.

  7. Hiller, J. (2013). “The Benefit Corporation and Corporate Social Responsibility.” Journal of Business Ethics, 118(2), 287-301.

  8. Morley, J., et al. (2020). “Ethical Guidelines for Trustworthy AI.” European Commission.

  9. Ostrom, E. (1990). Governing the Commons. Cambridge University Press.

  10. Standing, G. (2011). The Precariat: The New Dangerous Class. Bloomsbury Academic.

  11. Van Parijs, P., & Vanderborght, Y. (2017). Basic Income: A Radical Proposal. Harvard University Press.

Case Studies and Governance Examples

  1. ACUK Ltd. (2015). “Emergent Change – Case Studies.” ACUK

  2. Ajuna Network & MakerDAO case studies on decentralized governance. Various blockchain reports.

  3. Albert School. (2024). “AI-Agentic: How autonomous AI is transforming business.” Albert School

  4. Aviation Safety Reporting System (ASRS). NASA. https://asrs.arc.nasa.gov/

  5. Belfer Center. (2025). “Case Profiles of Decentralized Autonomous Organizations.” Belfer Center

  6. Homecubes. (2024). “Future of decentralized autonomous organizations.” Homecubes

  7. Keohane, R. (1984). After Hegemony. Princeton University Press.

  8. Linder, W., & Mueller, S. (2021). Swiss Democracy. Palgrave Macmillan.

  9. Starr, P. (2017). The Social Transformation of American Medicine. Basic Books.

  10. Financial Conduct Authority. (2024). “Regulatory Sandbox Statistics.”