Starting on eyeondesign, the most common topics I found immediately were to do with the issues arising due to the continuous development of AI. Thinking more about it, AI has been a really common topic lately as I've even seen it in relation to the current Coronavirus pandemic.
As AI is so contemporary, I feel as though it would possibly be more effective in exploring, and make more sense to my practice as I'm interested in current affairs. It's also such a broad subject that if I were to continue with my original plan and turn this into an exhibition, it would welcome many approaches.
https://eyeondesign.aiga.org/we-need-a-new-approach-to-designing-for-ai-and-human-rights-should-be-at-the-center/
We Need a New Approach to Designing for AI, and Human Rights Should Be at the Center
Designers need a methodology that helps them weigh the benefits of using a new technology against its potential harm
"AI is going to radically change society. It will do so in exciting and even life-saving ways, as we’ve seen in early projects that translate languages (in your own voice!), create assistant chat bots, make new works of art, and more accurately detect and analyze cancer. "
"Here’s why we need this: AI is technology, and technology is never neutral. How we make technology, how we conceptualize it, how we imagine where it fits into culture, and what problems it will solve when placed into product design—these are design choices that can have a deep impact on society.
Take facial recognition, for example, which seems relatively innocuous when used to unlock an iPhone more easily. That same technology can spell radical harm for another person when used by law enforcement due to its tendency to deliver false matches for certain groups, like women and people of color."
AI Has a Real Environmental Impact—Here’s How Designers Are Handling It
The principles of sustainable design are getting an update in the age of AI
"Her assertions about Turing’s tape may sound self-evident, but they bear repeating at a time when the material and energy required to run global computational systems (websites, for example) and their associated infrastructure (like data centers), tend to be hidden from plain sight. Terms like “the cloud” further reinforce a sense of intangibility in the digital world; a “misunderstanding of data as a pure resource rather than reliant on resources,” as Burrington wrote in Architectural Design."
" “You have to realize that AI doesn’t mean just one thing,” says David Rolnick, "
"Jarno Koponen, head of AI and personalization at Yle, Finland’s national broadcasting company, has been researching the use of AI in the ever-changing digital media landscape. He says that the most common uses of AI for consumer applications—feeding us content on a news app, for example—use very specific and narrow AI models and therefore require much less computer processing power. "
"Jarno Koponen, head of AI and personalization at Yle, Finland’s national broadcasting company, has been researching the use of AI in the ever-changing digital media landscape. He says that the most common uses of AI for consumer applications—feeding us content on a news app, for example—use very specific and narrow AI models and therefore require much less computer processing power. "
Digital artist Oli Frost’s latest project explores the potential power of Nice Fake News
https://www.itsnicethat.com/news/nice-fake-news-website-oli-frost-digital-010818
"Oli’s determination to do things differently in the digital sphere, while still ensuring there’s a direct link to life outside of the internet, is proof that the medium really is the message. "
What is AI?/Examples
What is AI?/Examples
- Google maps - traffic predictions - algorithms feeding this information
- email spam filters
- plagiarism checkers
- fraud prevention
- facebook tag friends suggestions - in photos
- pinterest - Pinterest uses computer vision, an application of AI where computers are taught to “see,” in order to automatically identify objects in images (or “pins”) and then recommend visually similar pins. Other applications of machine learning at Pinterest include spam prevention, search and discovery, ad performance and monetization, and email marketing.
- face filters
- instagram feed
- product recommendations
- voice to text
- siri, alexa and echo etc
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