Ethical and Intellectual Property Challenges In Artificial Intelligence and Iot: A Critical Examination of Risks, Regulatory Frameworks, and Socioeconomic Implications

Advances in Artificial Intelligence (AI) and the Internet of Things (IoT) are unsettling conventional doctrines across multiple domains, none more so than intellectual-property (IP) governance. As machine-learning architectures compose music, draft code, and generate patent-eligible inventions without direct human prompting, policy-makers confront gaps in authorship, ownership, and liability that existing statutes cannot fill. This article offers a systematic, interdisciplinary inquiry into the ethical, legal, and regulatory tensions that accompany AI- and IoT-driven innovation. Drawing on emblematic disputes—the “Monkey Selfie” litigation and the DABUS patent applications—and on comparative analyses of regulatory responses in the European Union, the United States, and Colombia, we map the fault lines produced by global regulatory fragmentation. Building on that mapping, we outline a policy architecture that balances incentives to innovate with safeguards against abuse, giving particular attention to cybersecurity vulnerabilities, digital-rights management, and the emerging monopolization of AI-generated assets. Our discussion also situates automated creativity within broader macro-economic trends, examining labor displacement, value capture, and the social stratification that accompanies algorithmic decision-making. Special emphasis is placed on asymmetries that affect Latin-American jurisdictions, where deficits in digital sovereignty and research funding perpetuate innovation gaps. Finally, we interrogate the moral obligations of corporations and governments in shaping AI policy, proposing measures that reconcile machine-driven invention with human-centered IP rights, ensuring that technological progress becomes a catalyst for inclusive economic growth rather than a source of new inequities across regions.