- Today, the data owners have to relinquish absolute control over their data to whatever organisation’s servers they upload it to.
- Limitation, because there are many industries, organisations, and even the people, who can generate valuable data that can solve much bigger problems, like curing diseases, better governance, better distribution of resources, and advance research in all fields in general; but since this data could be very sensitive in nature, the owners are sceptical about sharing it with third parties.
- It defines a set of working rules for an organisation to collaborate with an AI service provider, to make use of the organisation’s data without revealing it to the AI vendor.
- In future, the fluid protocol plans to enable collaborations between multiple organisations, that can all use their data without revealing it to each other, and train a much better AI.
- Its long-term goals are to build technologies and frameworks for all aspects of privacy-preserving AI, as a part of which are multiple technologies like differential privacy, federated learning, multi-party computation and homomorphic encryption.
How Deep Tech Startup Eder AI Is Building AI Solutions With Protected Privacy
3 March 2019 11:11 PM GMT
Applying any machine learning technique requires huge amounts of data. And with the human-machine interaction on the rise in speech technologies, chatbots and photo gallery organisers, among others, there is an immediate need to protect the privacy of the data owners. In this age of data protection, a deep tech startup called Eder AI is?