Maps and Trustworthy UX for AI: My first Hackathon!


I attended MLH’s (Big league hacking) Local HackDay (in collaboration with Github and Microsoft on 1 st Dec 2018 at Srishti Institute of Art, Style, and Technology, Bangalore arranged by Srishti Institute ACM SIGCHI Pupil Chapter and Communication Style Structure (IDF) area. The style of the hackathon was “Creating Trustworthy AI”. This post is about my very first experience at a hackathon(I was likewise a component of the organizing team).

The period of the occasion was from 9 AM to 9 PM. The first fifty percent of the day was when we had interactive sessions with market experts( Suman Bhaskara from Honeywell and Sriram Suryanarayanan from IBM).

Interactive sessions with industry specialists(Suman Bhaskara ( left) from Honeywell and Sriram Suryanarayanan (righ t) from IBM).

Suman’s talk made us believe much deeper regarding not just regarding UX for AI but also just how AI could be utilized for a much better UX. Giving examples from her previous work in Honeywell Aerospace and other instances from sector, she showed numerous means exactly how a reliable AI can be made along with providing us pointers on how we could make our procedure much more gratifying using systems-level reasoning. She wrapped up that the following action in AI is augmenting people to change our lives right. Sriram’s talk was similarly delightful, where he motivated us to not build MVPs(Minimum Viable Products”, however, MDEs(Minimum Delightful Products). Along with sharing regarding IBM’s business design believing with us, he also gave actually handy tips on what it should imply to develop a reliable AI such as power boundaries where the customer ought to supervise, not to construct irritating items and much more.

The obstacle of the hackathon was to layout a credible AI treatment While we may not have actually come to a final product that would defeat the” extraordinary valley in which incomplete human likeness confirms human dislike and we might not have actually passed all market guidelines such as Microsoft’s 6 principles of dependability for AI , we did discover a whole lot concerning those things.

On a mission to understand what a trustworthy AI is, I did some study before the hackathon and wrote a newbie’s overview to make credible AI to record the exact same. Truthfully, I need to confess that me and my teammate didn’t really consider what exactly we were going to make at the occasion, before the event. This was an additional challenge!So essentially, we got to run with the whole layout process in regarding 5 hours. This made us value a lot more the worth of preparation and structuring the design process within time restraints.

Our job

Group: Sweta Bisht and Shreya Chopra

Job title: Maps and Trustworthy UX for AI – Bringing trusted experiences to navigation on unfamiliar roadways in the Indian context

Item name : Alert Mode

Urbanization, concrete, and structure have actually brought to life a huge network of roadways- almost everywhere, evolving in numbers and need every day. Map applications like OSM and Google Maps have actually made navigating simpler and we see brand-new improvements every so often. However, we felt that a more contextual strategy with the aid of AI might make the driving experience much better, however additionally much safer and more exact to the said place.

We took the instances in the Indian context such as splits, roadway obstructions as a result of marital relationships and arrival of politicians or because of poorly developed drainage systems of the roads, which unfortunately is mosting likely to take a very long time to beat, considering aspects like corruption and developed a feature called “Alert setting” that can be part of these map applications. This item is particularly valuable for visitors exploring or coming across unfamiliar places.

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