Computers are getting smarter. Some worry about Skynet, others get excited by self-driving cars. Most of us aren’t sure which is more…
Machines have rapidly developed intelligence in this generation and their capabilities are changing the products we design. The process in which they are designed will also need to evolve. This article is the start of a conversation about co-designing with machines and what I’m calling Invisible Design — a process and design language for product designers working with artificial intelligence and technologies like machine learning. I believe these processes and tools are seeds for the future of product desig
This essay, originally published in eight short parts, aims to condense the current knowledge on Artificial Intelligence. It explores the state of AI development, overviews its challenges and dangers, features work by the most significant scientists, and describes the main predictions of possible AI outcomes
Are we giving AI engineers and creators the right tools to be ethical and create ethical products, algorithms, and software?
To Bell’s statement, I ask: what can we, the designers, the makers of the products that use machine learning that intervene in people’s daily lives can do? How do we design ethically and transparently for people? How do we take hard technical concepts and distill them for a variety, a majority of users without hurting, subverting or subterfuging our users with their data?
Which brings up a further point: Who constructs and maintains these supposedly revolutionary neural networks? The answer is developers and engineers — people who possess the sort of specialized computer know-how that Wired argues will soon be a thing of the past. That’s not eradicating code as we know it; that’s sending it one level deeper into bureaucratic obfuscation. If Wired is right, machine learning will reduce the number of people who know how to code, but, at the same time, it will make those who do even more powerful.
Will the world’s first feature co-written by AI change the way movies are made?
The AI failed to recognize the deep plot structures that are essential to creative work. Why did it not work? In short, writing a full script is probably too complex of a task for today’s AI. Today’s AI is very good at recognizing patterns in a large dataset, but it is hard for AI to be “creative” enough to create good content.
Just saving a link to this resource.
Source: Technological Singularity
Make machines intelligent. Improve people’s lives.
Home page for project team.
Source: Research at Google
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