Liability of ML Systems & Data Literacy

Dear community,

We are pleased to announce our first Knowledgefeed in 2020.
This time we have two topics, both from more of the “soft” side of Data Science.

We are going to explore whether our legislation is ready for AI, then we will discuss the necessity of data literacy. Doors open at 6:00PM.

AGENDA

18:00-18:30 get together
18:30-18:40 intro speech VDSG
18:40-Talks

TOPICS

1. “Liability for machine learning systems” – Daniel Deutsch (Judicial Law Clerk)

As more and more machines are supplied with machine learning algorithms, the question arises who is liable in cases of damage? Who is liable in case of accidents involving an autonomous driving car? Is there a difference when an autonomous lawnmower causes damage to the neighbour’s property? Public interest in those questions is high, whereas legal opinions are rare and court decisions are missing. Daniel will show why it can be difficult to fit machine learning-based applications in the existing legal liability system, and what the future might look like.

2. “On Data Literacy” Marek Danis (Data Scientist and Corporate Trainer)

This presentation will describe a new literacy: “data literacy”, the analogy with computer literacy, and reasons why this skillet will soon be as essential to all professionals as computer literacy is today. It will address the advent of decision making as the key managerial activity and the resulting democratization of AI and analytics. The presentation will address issues of mindset, as well as skillset, and the ways to acquire a basic level of data literacy to derive value from AI and ML assisted processes in one’s daily tasks.

Find out more about our
SPEAKERS:

1. Daniel studied Business Law at WU Wien and currently Artificial Intelligence at JKU Linz. He has worked in the legal and tech industry before and tries to bring both worlds together. Ultimately he considers himself an entrepreneur as he wants to build products and services that last.
https://www.linkedin.com/in/createdd/

2. Marek is an experienced data scientist and trainer with a strong business outcome focus. Previously, Marek worked for more than 10 years for Schlumberger Oilfield Services around the world in several technical, engineering and training positions and later with the Digital Transformation Team. Marek completed his Data Science education at the Texas A&M University Mays Business School in Houston. After doing consulting work in the domain of Data Science in QHSE (Quality, Health, Safety and Environment) and industrial applications, he has joined AlphaZetta as an analytics expert and AZ Academy trainer.
https://www.linkedin.com/in/marekdanis

For RSVP visit the link https://www.meetup.com/Vienna-Data-Science-Group-Meetup/events/267808770/

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