Research and Writing
Protecting Human Creativity: A Framework for AI Regulation and Copyright Reform
CCT-6041: AI Policy
Abstract
Generative artificial intelligence (GenAI) has fundamentally transformed the landscape of human creativity, challenging traditional notions of authorship, ownership, and innovation in our digital economy. As AI models harvest vast amounts of internet content—both public and copyrighted—to fuel their algorithms, they raise unprecedented questions about creators' rights and fair compensation. The rapid commercialization of these AI tools, usually marketed as creative assistants, has sparked legitimate concerns among artists, writers, musicians, and even scientists who face an existential threat to their livelihoods in a largely unregulated space. The critical challenge before us is not whether to embrace AI innovation, but how to ensure it enhances rather than undermines human creativity.
This paper argues for a comprehensive reform of U.S. copyright law built on three foundational pillars: mandatory content attribution, rights management, and cross-sector collaboration. Such reform would establish clear AI-generated content labeling requirements, implement robust provenance and training data documentation, and create technical standards for tracking metadata. To protect creators' interests, this framework proposes fair compensation mechanisms and transparent licensing frameworks for AI training data on copyrighted material. Central to this approach is the recognition that effective solutions must emerge from sustained collaboration between industry and creators, fostering shared standards, infrastructure, and best practices that serve both technological progress and creative protection. This reform proposal offers a practical path forward that balances innovation with preservation of human creative rights, ensuring that the AI revolution enhances rather than displaces the irreplaceable value of human creativity.
Understanding Interaction Design: Making Technology Work Better for People
CCT-5028: Leading by Design
Abstract
In an era dominated by digital technologies, interaction design emerges as a critical field that transforms complex technological systems into intuitive, user-friendly experiences. This paper explores the fundamental principles that bridge human cognitive processes and technological interfaces by synthesizing perspectives from human-computer interaction, cognitive psychology, and design theory. This paper traces the evolution of human-computer interaction as a profound interdisciplinary journey and examines how interaction design addresses the challenge of managing technological complexity while enhancing user engagement and understanding. It also explores how computational systems can extend human intellectual capabilities by transforming technological systems into intuitive tools that feel natural and empowering, diving into an analysis of internet architecture and web-based interfaces provides practical context for these theoretical principles, enabling the use of multi-user collaborative platforms like Google Docs.
By examining foundational concepts in interaction design, I aim to demonstrate how designers optimize interfaces to align with human perception and decision-making processes through key design principles—including visibility, feedback, consistency, and error correction—that are critical mechanisms for creating meaningful technological interactions.