Big Data, Big Design provides designers with the tools they need to harness the potential of machine learning and put it to use for good through thoughtful, human-centered, intentional design.
Enter the world of Machine Learning (ML) and Artificial Intelligence (AI) through a design lens in this thoughtful handbook of practical skills, technical knowledge, interviews, essays, and theory, written specifically for designers. Gain an understanding of the design opportunities and design biases that arise when using predictive algorithms. Learn how to place design principles and cultural context at the heart of AI and ML through real-life case studies and examples. This portable, accessible guide will give beginners and more advanced AI and ML users the confidence to make reasoned, thoughtful decisions when implementing ML design solutions.
Librarian Note: There is more than one author by this name in the Goodreads database.
Helen Armstrong, a Professor of Graphic Design at North Carolina State University, focuses her research on accessible design, digital rights, and machine learning. Armstrong authored Graphic Design Theory: Readings from the Field, Digital Design Theory: Readings from the Field and coauthored Participate: Designing with User-Generated Content. She is a past member of the AIGA National Board of Directors, the editorial board of Design and Culture, and a former co-chair of the AIGA Design Educators Community. Armstrong is the proud mom of a kid with disabilities and a fierce advocate for designing inclusive, intelligent, interfaces and experiences.
Currently, Armstrong is combining her knowledge of participatory practice with computational thinking to explore the potential of intelligent interfaces (i.e. machine learning) to address the needs of individuals with disabilities.
This was really good! I think it put into perspective well what AI means for design and the power we have as designers. I wish she went into more detail about how much carbon emissions are being created as a result and what we should do or consider when using AI. I can’t wait to meet her!
This is thoughtfully written but I fear it may have arrived too early in our contemporary journey through AI. Time will tell, but I might not recommend picking it up in a few years.