7 min read
Artificial intelligence might have wide-ranging effects on the evolution of the English language and, in turn, on education, communication, and global knowledge sharing.
brain with superimposed circuitry
Credit: Ole.CNX / Shutterstock.com © 2024
In an increasingly interconnected world, English has long been the global lingua franca, bridging diverse cultures and disciplines. But as we stand on the cusp of the artificial intelligence (AI) era, we must consider how this universal language might evolve—or be revolutionized—in the coming years. This article explores the concept of English as a programming language for human ideas, its potential transformation into an AI-improved version, and the implications this could have for education, communication, and global knowledge sharing. Along the way, we'll draw parallels and contrasts with George Orwell's dystopian vision of language control in his novel 1984 to better understand the possibilities and pitfalls of this linguistic revolution.
Observatorio IA - EDUCAUSE
EDUCAUSE
(17/10/2024)
This report presents a comprehensive framework for AI Literacy in Teaching and Learning (ALTL) in higher education, addressing the need for institutions to adapt to the rapidly evolving landscape of artificial intelligence (AI). The framework equips students, faculty, and staff to engage effectively and ethically with AI technologies in academic and professional contexts.
ALTL involves understanding AI fundamentals, critically evaluating AI applications, and maintaining vigilance against misuse and bias. The framework provides tailored definitions, competencies, and outcomes for students, faculty, and staff, focusing on four key areas: Technical Understanding, Evaluative Skills, Practical Application, and Ethical Considerations.
For students, ALTL emphasizes understanding and ethically applying AI in academic contexts. The focus for faculty is on integrating AI in teaching, research, and administrative responsibilities. Staff concentrate on supporting AI implementation in administrative and operational processes.
From its emerging stages as a theoretical concept to its current status as a transformative force, artificial intelligence (AI) has seen a remarkable evolution. The trajectory of AI's advancement—from simple algorithms to sophisticated machine learning models capable of outperforming human expertise in specific tasks—heralds a future in which AI's role is central to every aspect of our lives. The implications for future generations are profound: a shift in job structures, the emergence of new industries, and the overhaul of existing societal norms.
Integrating AI into higher education is not a futuristic vision but an inevitability. Colleges and universities must adapt and prepare students, faculty, and staff for their AI-infused futures.
The use of generative AI tools on campus is an excellent opportunity for technology and other leaders to provide guidance to students, faculty, and staff about how to navigate these new technological waters.
In April 2023, we were involved in a panel with students at College Unbound. The conversation —"Generative AI and Higher Education: Disruption, Opportunities, and Challenges"— offered many different highlights, and the students brought rich thoughts, provocative considerations, and smart ideas, reinforcing the fact that discussions around what to do about generative AI (or about anything else, for that matter) are enhanced when students are involved.
Toward the end of the panel conversation, Stan asked the students what they thought could be done to help faculty, students, and staff navigate the rise of AI. Essentially, he was curious to hear about the roles that technology and other leaders could fulfill. After thinking about their answers and engaging in further reflection, we came up with ten suggestions for how to step up and in to the generative AI discussion in higher education.
Generative artificial intelligence (AI) is in a renaissance amid a profusion of new discoveries and a breathless frenzy to keep up with emergent developments. Yet understanding the current state of technology requires understanding its origins. With the state of AI science changing quickly, we should first take a breath and establish proper footings. To help, this article provides a reading list relevant to the form of generative AI that led to natural language processing (NLP) models such as ChatGPT.
EDUCAUSE is helping institutional leaders, technology professionals, and other staff address their pressing challenges by sharing existing data and gathering new data from the higher education community. This report is based on an EDUCAUSE QuickPoll. QuickPolls enable us to rapidly gather, analyze, and share input from our community about specific emerging topics.
EDUCAUSE
(20/05/2023)
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