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The Importance of Mathematical Models in Systems Incorporating Artificial Intelligence

NOV
09
2020
09. NOV 2020

Lecture electronica Conferences > electronica Medical Electronics Conference > Session 1: SAFETY, SECURITY & REGULATORY

16:00-16:30 h | Virtual

Artificial intelligence (AI), machine learning and big data are hot topics across all industries. However, the potential of these methods is often contrasted with high complexity and intransparency. Further, today’s easy-to-use tools may quickly give the impression that a mathematical modeling of the problem space is not required anymore. This talk will point out that this is a misleading and dangerous assumption. In safety-critical applications, especially in the medical area, one of the major challenges is to formulate a credible safety argumentation – regardless of whether AI is involved or not. The regulatory framework has no clear answer on how to do this for systems incorporating AI approaches yet. Based on our practical experience we want to outline crucial topics that have to be considered when dealing with AI approaches, such as: • the importance of mathematical modeling • the ability to explain the model and its results • pitfalls when dealing with data-driven approaches • data collection and evaluation This presentation is intended to support assessors and auditors as well as engineers to help improving the safety argumentation of systems incorporating AI.

Subjects: Medical Electronics

Speaker: Tim Jones (exida.com GmbH)

Type: Lecture

Speech: English

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Artificial intelligence (AI), machine learning and big data are hot topics across all industries. However, the potential of these methods is often contrasted with high complexity and intransparency. Further, today’s easy-to-use tools may quickly give the impression that a mathematical modeling of the problem space is not required anymore. This talk will point out that this is a misleading and dangerous assumption. In safety-critical applications, especially in the medical area, one of the major challenges is to formulate a credible safety argumentation – regardless of whether AI is involved or not. The regulatory framework has no clear answer on how to do this for systems incorporating AI approaches yet. Based on our practical experience we want to outline crucial topics that have to be considered when dealing with AI approaches, such as: • the importance of mathematical modeling • the ability to explain the model and its results • pitfalls when dealing with data-driven approaches • data collection and evaluation This presentation is intended to support assessors and auditors as well as engineers to help improving the safety argumentation of systems incorporating AI.

Speaker,
exida.com GmbH

Tim Jones

Tim Jones

exida.com GmbH

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Informations

Speaker,
exida.com GmbH

Tim Jones
Tim Jones

Location

Eingang
Nord-West
ICM
Eingang
Nord
Eingang
West
Atrium
Eingang
Nord-Ost
Eingang
Ost
Conference
Center Nord
Freigelände
C1
C2
C3
C4
C5
C6
B0
B1
B2
B3
B4
B5
B6
A1
A2
A3
A4
A5
A6

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