Name: Multimodal AI Interfaces by MARC
Duration: 18 min 22 s
Description: Learn about designing multimodal interfaces for AI, prioritizing trust and empathy. Understand ethical considerations and become a data-savvy AI designer.

This podcast-style course explores a new paradigm in designing User Interfaces by focusing on Intent Detection using Context SDK. Its implications for subjective user experiences and related ethical concerns like user manipulation. It also examines abductive reasoning and its deceptive capabilities, raising questions about transparency and the urgent need for responsible AI development.

Podcast

Intent-driven Interfaces

This podcast-style course explores the distinction between AI being "clever" rather than truly "intelligent", examining how seemingly intelligent behavior can arise from sophisticated algorithms that may lack genuine understanding or consciousness.

AI, The Mischievous Toddler

This podcast-style course explores the evolving landscape of AI and creativity, from chatbots to "super systems."  It examines AI mechanics (machine learning, deep learning), its impact on UI design (dynamic, predictive experiences), and ethical concerns (memory manipulation, speed of thought).  Finally, it considers AI's philosophical implications, questioning intelligence, understanding, and creativity.

AI for Creatives: A Primer on Concepts and Capabilities

This course explores the inner workings of LLMs, from tokenization and transformers to their diverse applications in healthcare, education, and creative fields, while addressing current limitations and ethical concerns.

What is an LLM, and how does it work?

Learn about designing multimodal interfaces for AI, prioritizing trust and empathy. Understand ethical considerations and become a data-savvy AI designer.

Multimodal AI Interfaces

"Data Literacy for Designers" highlights the growing necessity for designers to use data effectively. The conversation covers data types, core literacy components (understanding, interpreting, communicating, questioning), and their application in design through analytics, testing, and user research. The discussion also touches on data as a feature and ethical implications, advocating for ongoing learning for better, user-focused design.

Data Literacy for Designers - Part 1

Data, AI, and the New Design Processes. This course analyzes the profound impact of data and artificial intelligence on design processes. It explores how AI-powered tools are transforming design disciplines, automating tasks and enabling faster workflows while shifting the designer's role towards curation and strategic prompting. The course examines the unprecedented speed and memory capabilities of AI, highlighting both opportunities for personalization and risks like design homogenization and ethical concerns. Ultimately, it discusses the evolving relationship between human designers and AI, emphasizing the importance of human skills alongside these emerging technologies to shape the future of design.

Data Literacy for Designers - Part 2

We try, we fail, we try again, we succeed, we improve, we get curious, we try variations. That's how we learn. Curiosity is food for the brain. AI is oftentimes a shortcut; use it with caution.

Can AI be a shortcut without shortchanging creativity? This conversational course analyzes the benefits and risks of using artificial intelligence in art and design, including potential skill erosion and homogenization. The conversation also touches on Daniel Dennett's "intuition pumps" as a framework for understanding technology's impact on creativity.

AI as a Shortcut: Skills Atrophy and Other AI Byproducts

M.A.R.C. Multidisciplinary Arts Research Center
Audio Courses in Art & Technology

Multimodal AI Interfaces

MARC

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