The organization, which will publish research on the ethics, transparency and reliability of AI, among other things, was initially made up of tech giants Amazon, Microsoft, Facebook, Google and IBM.
"We believe it's beneficial to Apple, our customers, and the industry to play an active role in its development and look forward to collaborating with the group to help drive discussion on how to advance AI while protecting the privacy and security of consumers."
Executive Director Carol Rose, who will sit on the board, said the Partnership on AI is important to ensure artificial intelligence is "developed in ways that enhance, rather than threaten, human rights and civil liberties."
The Partnership on AI will hold its first meeting on Feb. 3 in San Francisco, after which it plans to announce the initial areas of research it will undertake.
Only one in 20 skin cancers are melanoma, yet the tumour accounts for three-quarters of skin cancer deaths.
The experiment, detailed in the journal Nature, then tested the AI against 21 trained skin cancer doctors.
However, the computer software cannot make a full diagnosis, as this is normally confirmed with a tissue biopsy.
Dr Esteva said the system now needed to be tested alongside doctors in the clinic.
"The application of AI to healthcare is, we believe, an incredibly exciting area of research that can be leveraged to achieve a great deal of societal good," he said.
Brett Kuprel, another researcher on the project, added: "The end-to-end training and transfer learning approaches we used can be applied to many problems in healthcare, provided there is a large enough dataset.
As artificial intelligence gains currency, leaders at top technology companies including Microsoft and IBM today said there is a need to create "new collar jobs" as innovations would replace some jobs and existing employees would need to be re-trained.
Microsoft CEO Satya Nadella said Artificial Intelligence (AI) is moving on the right ladder and highlighted its importance in reviving the sluggish global GDP growth.
IBM CEO Ginni Rometty said AI will replace some jobs, but most of us will be working with these systems. She called for the need of creating "new collar jobs" by imparting new skills to the existing workforce and hoped countries like India would see many youngsters joining a new data economy.
"We can choose whether AI replaces or augments humanity at work," Nadella said, adding that it is our responsibility to have AI augment human abilities.
Now leading researchers are finding that they can make software that can learn to do one of the trickiest parts of their own jobs—the task of designing machine-learning software.
They include researchers at the nonprofit research institute OpenAI (which was cofounded by Elon Musk), MIT, the University of California, Berkeley, and Google’s other artificial intelligence research group, DeepMind.
One set of experiments from Google’s DeepMind group suggests that what researchers are terming “learning to learn” could also help lessen the problem of machine-learning software needing to consume vast amounts of data on a specific task to perform it well.
Bengio says the more potent computing power now available, and the advent of a technique called deep learning, which has sparked recent excitement about AI, are what’s making the approach work.
Google Brain’s researchers describe using 800 high-powered graphics processors to power software that came up with designs for image recognition systems that rivaled the best designed by humans.
He and MIT colleagues plan to open-source the software behind their own experiments, in which learning software designed deep-learning systems that matched human-crafted ones on standard tests for object recognition.
In this video, John Launchbury, the Director of DARPA's Information Innovation Office (I2O), attempts to demystify AI--what it can do, what it can't do, and where it is headed. Through a discussion of the "three waves of AI" and the capabilities required for AI to reach its full potential, John provides analytical context to help understand the roles AI already has played, does play now, and could play in the future.