University of Kwazulu-Natal

Ai At Camd College Of Arts Media And Design Camd

Bonisiwe Shabane
-
ai at camd college of arts media and design camd

In art installations like “Boogaloo Bias,” professors Jennifer Gradecki and Derek Curry reverse-engineer AI decision-making systems to reveal how they work, “Because everyone has the right to know what these technologies promise and what... The AI-Media Strategies Lab – AIMS Lab – focuses on the use of AI technologies in media industries, providing evidence-based recommendations to organizations, and producing research leveraging methods such as surveys, focus groups, experiments,... In this project, we build upon previous works such as Charticulator (Microsoft) and browser-based research studies to develop a two-part visual engine. The first engine generates a data stream that maps out aggregated, ecosystem-level behavior from the dataset. This stream is then used by the second visual engine to model individual behavior and introduce stochastic properties inherent in real-world scenarios. In 2023-24, Laura Forlano (A+D/Comm), Rahul Bhargava (Journalism/A+D), Sylke Meyer (Theater/A+D), Joseph Reagle (Comm), Humbi Song (Architecture), and Victor Zappi (Music) curated resources and led a series of workshops in which faculty shared approaches,...

Topics included testing the robotproofness of assignments, the utilities and limits of AI tools in creative work, implications for expressive and commercial media like photography, and balancing deep ethical concerns with exploring creative applications. Additional speakers included Meg Heckman (journalism) on machine vision tools for journalism research, David Tames (A+D/media and screen studies) on AI research tools in the use case of virtual reality research, Grisha Coleman (A+D/theater)... CAMD Faculty can continue to access resources at the Canvas site. Students in the College of Art, Media and Design (CAMD) have many opportunities to develop projects that engage with AI, whether it is in practice, theory or a combination of both. This showcase celebrates some of our student achievements involving or reflecting on AI across our different departments. A global research university, powered by experience

Hear Lee Moreau, Professor of Practice in Art + Design College of Arts, Media and Design (CAMD) at Northeastern University, on balancing the threats and possibilities of AI and why he’s cautiously optimistic that... “Design is a practice of reckoning with the past as much as it is of designing for the future.” In the DB|BD season finale, Lee Moreau joins host Ellen McGirt for a reflective conversation... 🎧 Listen now on Design Observer or your favorite podcast player. https://lnkd.in/e3_gpv8Z Expanding the Design Space for Explainable AI in Human-AI Interactions Explainable AI (XAI) has largely been designed and evaluated through the lens of four recurring metrics: Trust, Reliance, Acceptance, and Performance (TRAP). While these metrics are essential for developing safe and responsible AI, they can also trap us in a constrained design space for how explanations provide value in human-AI interactions.

Furthermore, mixed results on whether XAI actually helps calibrate reliance or foster appropriate trust raise the question of whether we are designing XAI with the right goals in mind. This talk explores how we can expand the design space for XAI by moving beyond the TRAP goals. I will discuss how domain experts appropriate AI explanations for purposes unanticipated by designers, how AI explanations can mediate understanding between physicians and other stakeholders, and how we can repurpose generative AI as an... By reframing XAI as a practical tool for reasoning and human–human interaction, rather than solely as a transparency mechanism, this talk invites us to consider what’s next for explainable AIAbout our speakerKatelyn Morrison is... candidate in the Human-Computer Interaction Institute at Carnegie Mellon University’s School of Computer Science, advised by Adam Perer. Her research bridges technical machine learning approaches and human-centered methods to design and evaluate human-centered explainable AI (XAI) systems in high-stakes contexts, such as healthcare.

In recognition of her work at the intersection of AI and health, she was awarded a Digital Health Innovations Fellowship from the Center for Machine Learning and Health at Carnegie Mellon University. Her research experience spans industry, government, and non-profit organizations, including the Software Engineering Institute, Microsoft Research, and IBM Research. Before joining Carnegie Mellon University, Katelyn earned her bachelor’s degree in Computer Science with a certificate in Sustainability from the University of Pittsburgh. She is currently on the job market for faculty, postdoc, and research scientist positions. Naviagation: Enter the building through this gate and take left. Northeastern University College of Arts, Media and Design (CAMD), 11 Leon Street, Boston, United States

Media Arts Degree Project (ARTD 4530) By Carly Bates Computer-Supported Cooperative Work Conference 2025 By Menglin Zhao Assignment: Black Box By Maxine Vollertsen Assignment: Black Box By Annie Lin and Jahnavi Poddar Join CoDesign Collaborative and TJ Lippert and Jon Riehle from LOFT Design, for a workshop on October 9, 2025, from 12-1 pm ET exploring AI Workflow. Advancements within AI image generation tools are lowering the barrier to entry for others who are not in typical creative roles.

This workshop will dive into on AI’s potential applications within the physical product development process, and how Business Leaders, Stakeholders, and Designers can cross-collaborate like never before. AI Workflow is presented in partnership with the Center for Design, a CoDesign Collaborative Academic Partner, and as part of Northeastern University’s Arts, Humanities, and Tech Weeks. About TJ LippertTJ Lippert is a multi-disciplinary designer with nearly a decade of experience helping bring products and brands to life within the automotive accessory, pet, consumer electronics, professional audio markets, and much more. Currently, TJ is a Senior Industrial Designer at Loft and has previously held product and brand development roles at NOCO, Juggernaut Design, and Mediphor Design. These experiences have allowed him to work closely alongside C-suite business and product development leadership, and in recent years have provided him the opportunity to integrate AI tools into his creative process. TJ is passionate about the smallest behaviors that make up the interactions with products in our day-to-day experiences, and strives to have his designs act as an extension of ourselves to improve our lives...

About Jon RiehleJon Riehle is a designer, professor, and team leader with over a decade of experience in industrial and UI/UX design. He’s worked with companies across consumer goods, pro-audio, medtech, and digital products to create thoughtful, user-centered solutions. Currently a Senior Designer at Loft Design, Jon uses AI tools to explore ideas faster, spark creativity, and collaborate more effectively with clients. Before that, he spent nearly five years at Procter & Gamble, working closely with brand leaders and cross-functional teams at Braun and Gillette to launch innovative products that combined design thinking with emerging technologies. About AHT WeeksAHTWeeks at Northeastern, a celebration of the power of Arts, Humanities, and Tech for research, discovery, experiential learning, and co-creation with wider communities, is a three campus collaboration (Boston—London—Oakland) of the Humanities... AI and Epistemic Risk for Democracy: A Coming Crisis of Public Knowledge?

Prof. John Wihbey explores fundamental risks to democracy that recent AI innovations may pose, and how to incorporate ethical and responsible approaches to safeguard the value of human judgement. “The norms of the traditional, human news business dictate crisp, definitive accounts of human actions, events, and views – blaring headlines and simple, condensed summaries that attempt to declare empirical truth and certain judgment. Should AI attempt to mimic such norms?” A team of School of Journalism researchers used AI to analyze news in ways never before possible at scale, measuring who was being quoted in news in order to assess the variety of voices... “This paper presents an experimental case study utilizing machine learning and generative AI to audit content diversity in a hyperlocal news outlet, The Scope, based at a university and focused on underrepresented communities in...

Happening on Monday! 📢 🔊 Join us for our first CfD Conversation of 2023: "Designing with AI: Approaches and Methods" February 6th, 12 pm EST. Hosted on Zoom, with a watch party at the Center for Design Ryder Hall, Suite 180, 40 Leon St, Boston, MA 02115 Paolo Ciuccarelli Tucker Marion Mohsen Moghaddam Hugh Dubberly Roberto Verganti John Cain... #Savethedate for our first CfD Conversation of 2023. Designing with AI: Approaches and Methods February 6th, 12pm EST Hosted on Zoom, with a watch party at the Center for Design Ryder Hall, Suite 180, 40 Leon St, Boston, MA 02115 Paolo Ciuccarelli... Access this content and more in the LinkedIn app

The AI-Media Strategies Lab – AIMES Lab – focuses on the use of AI technologies in media industries, providing evidence-based recommendations to organizations, and producing research leveraging methods such as surveys, focus groups, experiments,... AIMES Lab seeks to partner with and advise organizations on using AI tools to accomplish their media-related goals, in areas such as news, communications, social media, public relations, advocacy, and more. The Lab seeks to learn from external organizations and consolidate knowledge about the state of the art (applied research), as well as produce more basic research about AI technologies and their uses and perceptions... (See more at the full AIMES Lab website.) The Lab’s Director is Dr. John Wihbey, associate professor of media innovation and technology at Northeastern University and a consultant and analyst.

His graduate-level course “AI in Media Industries” will run in Spring 2025. (See the NGN news write-up of the course.) AIMS looks to be an educational bridge as the media and communications workforce adapts to a new technological paradigm.

People Also Search

In Art Installations Like “Boogaloo Bias,” Professors Jennifer Gradecki And

In art installations like “Boogaloo Bias,” professors Jennifer Gradecki and Derek Curry reverse-engineer AI decision-making systems to reveal how they work, “Because everyone has the right to know what these technologies promise and what... The AI-Media Strategies Lab – AIMS Lab – focuses on the use of AI technologies in media industries, providing evidence-based recommendations to organizations, ...

Topics Included Testing The Robotproofness Of Assignments, The Utilities And

Topics included testing the robotproofness of assignments, the utilities and limits of AI tools in creative work, implications for expressive and commercial media like photography, and balancing deep ethical concerns with exploring creative applications. Additional speakers included Meg Heckman (journalism) on machine vision tools for journalism research, David Tames (A+D/media and screen studies)...

Hear Lee Moreau, Professor Of Practice In Art + Design

Hear Lee Moreau, Professor of Practice in Art + Design College of Arts, Media and Design (CAMD) at Northeastern University, on balancing the threats and possibilities of AI and why he’s cautiously optimistic that... “Design is a practice of reckoning with the past as much as it is of designing for the future.” In the DB|BD season finale, Lee Moreau joins host Ellen McGirt for a reflective conversa...

Furthermore, Mixed Results On Whether XAI Actually Helps Calibrate Reliance

Furthermore, mixed results on whether XAI actually helps calibrate reliance or foster appropriate trust raise the question of whether we are designing XAI with the right goals in mind. This talk explores how we can expand the design space for XAI by moving beyond the TRAP goals. I will discuss how domain experts appropriate AI explanations for purposes unanticipated by designers, how AI explanatio...

In Recognition Of Her Work At The Intersection Of AI

In recognition of her work at the intersection of AI and health, she was awarded a Digital Health Innovations Fellowship from the Center for Machine Learning and Health at Carnegie Mellon University. Her research experience spans industry, government, and non-profit organizations, including the Software Engineering Institute, Microsoft Research, and IBM Research. Before joining Carnegie Mellon Uni...