How are emerging technologies like artificial intelligence (AI) and generative AI influencing and impacting scholarly publications? If you consider how these tools are developed, it is easy to see it is all about data literacy. This interesting topic came to us from The Scholarly Kitchen in their article, “Guest Post — Digital Humanities, Data Literacy Skills and AI: Understanding the Way Things Work.”
Emerging technologies heavily rely on data for their functioning. Data literacy is crucial for individuals to comprehend how these technologies work, the types of data they use, and the implications of their outputs.
Many emerging technologies enable data-driven decision-making. Data literacy ensures that individuals can interpret and analyze data, making informed choices based on insights obtained from these technologies. Data literacy empowers individuals to collect, clean, and preprocess data for use in these technologies, improving the accuracy and reliability of their results.
Metadata makes digital content findable. Findability, however, only works when a proper taxonomy is in place. Proper indexing against a strong standards-based taxonomy increases the findability of data. Access Innovations is one of a very small number of companies able to help its clients generate ANSI/ISO/W3C-compliant taxonomies.
Melody K. Smith
Sponsored by Access Innovations, the intelligence and the technology behind world-class explainable AI solutions.