What is AI?

Artificial intelligence (AI): The ability of machines and systems to acquire and apply knowledge, and to carry out intelligent behavior.

AI is programmed, and adapts, through progressive learning algorithms to let its acquired data do continue programming. Through structure and regularities in data, algorithms can acquire skills.

AI needs algorithms to exist.

Algorithm: A set of instructions or rules that enable machines to learn, analyze data and make decisions based on that knowledge. These algorithms can perform tasks that would typically require human intelligence, such as recognizing patterns, understanding natural language, problem-solving and decision-making.

AI uses crowdsourcing to collect data from a variety of sources, including online forums, social media, and other online platforms.

Crowdsourcing: Obtaining work, information, or opinions from a large group of people who submit their data via the Internet, social media, and smartphone apps. This data can consist of thousands of past examples of how humans made decisions. Many A.I. solutions can be considered crowdsourced

Automation: The substitution of human input by machines, especially those which are digitally enabled.

Generative AI: A type of AI software that can be used to create content via algorithms. By analyzing the vast amount of content available across the internet, algorithms predict the “best fit” for a user-entered prompt. This content can include art and imagery, audio, video, code, text, and simulations.

When machines attempt to imitate the human brain they learn human-like stereotypes and cultural norms from sociocultural data.

Beware of inherent bias in any solution.

Bias: prejudice in favor of or against one thing, person, or group, usually in a way considered to be unfair.

Just as humans can acquire biases, machines learn human-like stereotypes and cultural norms from sociocultural data.

Findings from researchers from the Brookings Institute suggest that machine learning models can automatically learn bias from the way people are stereotypically portrayed on the web. Algorithms based on this data have the potential to disproportionately harm some of the most vulnerable members of society by deepening pre-existing social and economic gaps and amplifying racial bias.

Managing The Risks Of Inevitably Biased Visual Artificial Intelligence Systems; Aylin Caliskan, Ryan Steed; Brookings; 9/26/2022; https://www.brookings.edu/articles/managing-the-risks-of-inevitably-biased-visual-artificial-intelligence-systems/

Image Representations Learned With Unsupervised Pre-Training Contain Human-like Biases; Aylin Caliskan, Ryan Steed; FAccT ’21: Proceedings of the 2021 ACM Conference on Fairness, Accountability, and Transparency; Pages 701–713; 3/ 2021 https://doi.org/10.1145/3442188.3445932

 

AI in the classroom

• • If you didn’t create it, (design it, write it, etc.), don’t claim that you did.
    Do not modify a few details and claim you created it.
  • Do not use language modelling AI (ChatGTP) or visual modelling AI (Firefly, MidJourney, iGPT, DALL-E 2, RemovalAI, Sensei GenAI, etc) to create any final artwork you claim to be yours.
    Any and all use of AI must  be credited.
  • Using visual A.I. in the ideation stage of a project is allowed, but failing to cite/explain this inspirational source when presenting material (etc.) is considered plagiarism.
    Instead of direct copying, use AI to inspire and evolve solutions.

Remember:

• • Visual and Verbal AI: No assignments or projects generated entirely by AI tools will be accepted unless otherwise explained in writing by the professor.
  • If you take something from the internet and run it through Grammerly or Stable Diffusion—it is not your work!
    Failing to cite an image, direct quote or paraphrased source of information can be considered an academic integrity violation—this includes AI-generated content.
  • How to Credit: When using any AI (verbal or visual) for ideation, provide the source(s), answers found, and how/why this was used. Again, omitting attribution is considered plagiarism.

For your benefit, keep this source documentation. Always include it when showing your work—online, or in your portfolio.

Language suggestion: “The designer acknowledges the use of [Name of the Generative AI Tool], an art model   developed by [Name of the Generative AI Tool Provider], in the preparation of this assignment.
The [Name of the Generative AI Tool] was used in the following way(s) in this assignment   [e.g., brainstorming, grammatical correction, style research, stock imagery  appropriation, which portion of the assignment, etc.].”

Do:

• • Ask ChatGPT questions. Chat with it about topics in which you’re interested. For example, “What are some current issues related to sustainability in the design industry?”

But remember:
• AI is not a reliable product of research and assessment.
• AI is often only 60-70% correct.
• What you’re getting from AI is crowdsourced information,

• • Provide many details with prompts for visual ideas.
  • Use AI Generative Fill in Photoshop, Generative Color in Illustrator, and whatever else Adobe comes up with this year.

Don’t:

• • Do not use a language model AI (ChatGPT, QuillBot, etc.) to draft papers.
  • Do not use a language model AI (ChatGPT, QuillBot, etc.) to give citations.
    Again, AI is not a reliable product of research and assessment and is often only 60-70% correct.