AI Summary: Shin's 2023 book presents a sociotechnical examination of artificial intelligence, arguing that algorithms are social constructs that reflect and reproduce human values and biases. The work spans eight chapters, addressing foundational concepts such as algorithmic experience and awareness, while also tackling critical issues like bias, credibility, and the need for explainability and human-centered design. Central to Shin's argument is the importance of algorithmic awareness and trust, highlighting the challenges posed by the opacity of algorithms and their potential for misuse, as exemplified by recent governmental contracts to influence AI content. Employing an interdisciplinary approach, the book develops frameworks for understanding algorithmic interaction, emphasizing the need to consider both technical and social dimensions in AI ethics.
Tech Outlook 2026: What Higher Ed Tech Leaders Expect this Year
AI Summary: In 2026, higher education institutions are expected to transition from isolated AI pilot projects to comprehensive, governance-driven strategies that integrate AI across various functions, including teaching and administration. Accountability and return on investment (ROI) will become central to technology investments, with a focus on demonstrating improvements in efficiency and student outcomes. Additionally, the integration of interoperable data systems will be crucial for enabling effective AI applications and supporting workforce readiness, as institutions prioritize skills and flexible learning pathways. As AI tools become more embedded in educational practices, institutions will need to establish clear guidelines for data privacy and ethical use while fostering innovation.