MAKING VEHICLES
UNDERSTAND HUMAN LAWS

— machine executable legislation for autonomous compliance —

THE PROBLEM WE SOLVE

Self-driving cars. Hospital robots. Drones that deliver parcels.
Seven years ago, this topic would have had all the makings of a dystopian fiction. A futuristic dream or a script for a compelling sci-fi movie. These days, robotics are gradually becoming part of our lives. Articles examine their potential, robots are already roaming our streets and they will be commonplace as breathing in a few decades. Whether you love them or hate them, there is at least one issue that we cannot afford to ignore: legislation. A robot needs to know how to perform its duties lawfully and ethically. Self-driving cars must know the highway code and be able to apply it. The same applies to drones, which are also subject to privacy laws. You may think that this legislation can be easily coded into a machine. But it’s not that simple, as we know from experience with several projects.

AUTONOMOUS MACHINES AND HUMAN LAWS:
THREE LAYERS OF COMPLEXITY

We identified three complexities that are obstacles on our path and we're solving them!

01.

The first complexity is that regulations are still drafted by people for people. Given that machines are unable to read or understand them, this is not very useful to them.

02.

Globalisation is the second complexity. As an industrial robotics manufacturer, you can easily scale up internationally but this requires you to take various layers of legislation into account: international, European, provincial, regional, municipal... in the many different languages that are spoken around the world. Try navigating that as a human ... You can see how difficult it would be to get a robot to comply with all these laws. You’d need vast amounts of manpower to manually code all this into a machine.

03.

The third and final complexity is the quantifiability of legislation. Or the lack thereof. European regulations state, for example, that operators must drive, or fly 'safely’. But safety means different things to different people. Our idea of safe may be borderline in your eyes.

If we humans are unable to reach a conclusive opinion on specific laws, then why should we expect robots to do this?

SEE HOW IT WORKS

Nalantis is a next-gen language technology company. We developed an artificial intelligence system that enables machines to understand text and natural language. This technology is implemented by governments and enterprises to build highly intelligent classification, mapping and conversational search products.

BUSINESS
SUMMARY

Regulatory compliance for autonomous machines
Society is governed by written law that changes from region to region and machines have no way of understanding our laws.
There is a scarcity of labeled and structured data for Machine & Deep Learning purposes.
Autonomous Vendors need to manually curate and monitor all applicable regulation
Big tech is providing BlackBox AI
Next-gen language technology for automatic deep granular understanding of unstructured law
Access to an AI-for-language backend through pre-confined and pre-trained micro-services
Library of Language Understanding APIs to scale it globally
Providing a semantic repository of all applicable law in the autonomous space
SAGE-by-Nalantis - a hybrid language technology stack (NLP, Semantic Pattern Recognition, ConceptNet Modeling, ML/DL)
AIR eVTOL, Drones (Cargo, Monitoring, People)
ROAD cars, delivery bots, robotaxis, agriculture
SEA boats & ships, public water-transport
GOV regulatory bodies