scholarly journals Data Controllability for Risk Management in Smart and Intelligent Systems

2020 ◽  
Vol 8 (1) ◽  
pp. 656-666
Author(s):  
Manuel Munier ◽  
Vincent Lalanne
Keyword(s):  
Risk Management ◽  
Intelligent Systems

scholarly journals Interactive computations: toward risk management in interactive intelligent systems

2015 ◽  
Vol 15 (3) ◽  
pp. 465-476 ◽  
Author(s):  
Andrzej Skowron ◽  
Andrzej Jankowski
Keyword(s):  
Risk Management ◽  
Intelligent Systems

scholarly journals Complex Risk Statistics with Scenario Analysis

Complexity ◽  
2021 ◽  
Vol 2021 ◽  
pp. 1-6
Author(s):  
Fei Sun ◽  
Yichuan Dong
Keyword(s):  
Neural Networks ◽  
Risk Management ◽  
Scenario Analysis ◽  
Special Class ◽  
Intelligent Systems ◽  
Deep Neural Networks ◽  
Critical Factor ◽  
New Approach ◽  
Dual Representations

Complex risk is a critical factor for both intelligent systems and risk management. In this paper, we consider a special class of risk statistics, named complex risk statistics. Our result provides a new approach for addressing complex risk, especially in deep neural networks. By further developing the properties related to complex risk statistics, we are able to derive dual representations for such risk.

scholarly journals Towards a European AI liability system

2021 ◽  
Vol 11 (5) ◽  
pp. 317-324
Author(s):  
Réka Pusztahelyi
Keyword(s):  
Artificial Intelligence ◽  
European Union ◽  
Risk Management ◽  
High Risk ◽  
Intelligent Systems ◽  
Focal Point ◽  
Management Approach ◽  
The European Union ◽  
Artificial Intelligent ◽  
The Eu

This essay deals with certain civil liability implications of artificial intelligent systems in the light of the recent steps taken by the European Union. In order to create not only an ethical but also a lawful AI, the EU strives to lay down the framework of the future common liability rules for damages and harms caused by any application of AI technology. The Commission’s new Proposal (Artificial Intelligence Act, AIA) reflects on an innovative approach to the regulation which can tackle with the special features of the AI systems, lays down rules according to the risk management approach and the class-of-application-by-class-of-application approach. In this essay, the strict-based liability for high-risk AI systems and the concept of the frontend and backend operators are in the focal point.

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