Human-Machine Interfacing Human-Machine Interfacing

Today, we are on the precipice of a paradigm change in how we interface with machines; the era of the Natural User Interface.

Every few decades we progress the standard for human-machine interfacing – from the humble Command-Line to the ubiquitous Graphical and Touch User Interfaces that elevated personal computers in to the mainstream. Now, we are developing the building blocks that will empower machines with the ability to understand and communicate in natural human languages.

One of the key building blocks to unlocking the potential of Natural User Interfaces is a revolutionary new approach to Natural Language Process.

Problems with Today’s Conversational AI Problems with Today’s Conversational AI

When we mention the term ‘Conversational AI’ it is inevitable that most people immediately associate this with Chatbot or Virtual Assistant technologies. However, virtually all of these existing solutions are built on an outdated architecture that has already demonstrated an inability to scale over time.

The big data required to implement virtual agents on these existing solutions is simply not feasible for a vast majority of businesses, and the current performance quality of such virtual agents make it difficult to justify the heavy initial investment.

KAMI is developing a revolutionary new approach to Natural Language Processing focusing on Small Data Learning and Multi-Round Dialogue Tracking.

Commoditization of Knowledge & Data Commoditization of Knowledge & Data

A legal framework for the commodification of data is a controversial topic of paramount importance. Recent developments and the start of General Data Protection Regulation (GDPR) only serve to underline the need to progress towards a new model of data ownership as users grow uncomfortable with the exploitation of personal information purely for corporate and business interests.

We propose that the accelerated development of AI can in part be achieved by the democratisation of data. A model whereby the goal is to give ownership of private data back to the hands of the users, thereby allowing users to partake in the commodification of their data. Personal data management would be an essential skillset, and a decentralized marketplace of personally curated data would undoubtedly bring about a new age of AI development.