Designing transparent and autonomous intelligent vision systems

Joanna Isabelle Olszewska

doi:10.5220/0007585208500856

Designing transparent and autonomous intelligent vision systems

Joanna Isabelle Olszewska

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

46 Citations (Scopus)

320 Downloads (Pure)

Abstract

To process vast amounts of visual data such as images, videos, etc. in an automatic and computationally efficient way, intelligent vision systems have been developed over the last three decades. However, with the increasing development of complex technologies like companion robots which require advanced machine vision capabilities and, on the other hand, the growing attention to data security and privacy, the design of intelligent vision systems faces new challenges such as autonomy and transparency. Hence, in this paper, we propose to define the main requirements for the new generation of intelligent vision systems (IVS) we demonstrated in a prototype.

Original language	English
Title of host publication	Proceedings of the 11th International Conference on Agents and Artificial Intelligence
Place of Publication	Prague
Publisher	SciTePress
Pages	850-856
Number of pages	7
Volume	2
ISBN (Electronic)	9789897583506
DOIs	https://doi.org/10.5220/0007585208500856
Publication status	Published - 21 Feb 2019
Event	11th International Conference on Agents and Artificial Intelligence - Prague , Czech Republic Duration: 19 Feb 2019 → 21 Feb 2019 http://www.icaart.org/

Conference

Conference	11th International Conference on Agents and Artificial Intelligence
Abbreviated title	ICAART 2019
Country/Territory	Czech Republic
City	Prague
Period	19/02/19 → 21/02/19
Internet address	http://www.icaart.org/

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 3 Good Health and Well-being
SDG 9 Industry, Innovation, and Infrastructure
SDG 11 Sustainable Cities and Communities
SDG 12 Responsible Consumption and Production

Keywords

Intelligent vision systems
Autonomous systems
Vision agents
Agent-oriented software engineering
Explainable Artificial Intelligence (XAI)
Transparency and ethical issues

Access to Document

10.5220/0007585208500856Licence: CC BY-NC-ND

2019 02 19 Olszewska Designing FinalFinal published version, 505 KBLicence: CC BY-NC-ND

Testing Intelligent Vision Systems
Olszewska, J.
25/06/21
1 item of Media coverage
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Joanna Olszewska
Person

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@inproceedings{09893f54184d46a69f4cab805ad31d5d,

title = "Designing transparent and autonomous intelligent vision systems",

abstract = "To process vast amounts of visual data such as images, videos, etc. in an automatic and computationally efficient way, intelligent vision systems have been developed over the last three decades. However, with the increasing development of complex technologies like companion robots which require advanced machine vision capabilities and, on the other hand, the growing attention to data security and privacy, the design of intelligent vision systems faces new challenges such as autonomy and transparency. Hence, in this paper, we propose to define the main requirements for the new generation of intelligent vision systems (IVS) we demonstrated in a prototype.",

keywords = "Intelligent vision systems, Autonomous systems, Vision agents, Agent-oriented software engineering, Explainable Artificial Intelligence (XAI), Transparency and ethical issues",

author = "Olszewska, \{Joanna Isabelle\}",

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language = "English",

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booktitle = "Proceedings of the 11th International Conference on Agents and Artificial Intelligence",

publisher = "SciTePress",

address = "Portugal",

note = "11th International Conference on Agents and Artificial Intelligence, ICAART 2019 ; Conference date: 19-02-2019 Through 21-02-2019",

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N2 - To process vast amounts of visual data such as images, videos, etc. in an automatic and computationally efficient way, intelligent vision systems have been developed over the last three decades. However, with the increasing development of complex technologies like companion robots which require advanced machine vision capabilities and, on the other hand, the growing attention to data security and privacy, the design of intelligent vision systems faces new challenges such as autonomy and transparency. Hence, in this paper, we propose to define the main requirements for the new generation of intelligent vision systems (IVS) we demonstrated in a prototype.

AB - To process vast amounts of visual data such as images, videos, etc. in an automatic and computationally efficient way, intelligent vision systems have been developed over the last three decades. However, with the increasing development of complex technologies like companion robots which require advanced machine vision capabilities and, on the other hand, the growing attention to data security and privacy, the design of intelligent vision systems faces new challenges such as autonomy and transparency. Hence, in this paper, we propose to define the main requirements for the new generation of intelligent vision systems (IVS) we demonstrated in a prototype.

KW - Intelligent vision systems

KW - Autonomous systems

KW - Vision agents

KW - Agent-oriented software engineering

KW - Explainable Artificial Intelligence (XAI)

KW - Transparency and ethical issues

U2 - 10.5220/0007585208500856

DO - 10.5220/0007585208500856

M3 - Conference contribution

VL - 2

SP - 850

EP - 856

BT - Proceedings of the 11th International Conference on Agents and Artificial Intelligence

PB - SciTePress

CY - Prague

T2 - 11th International Conference on Agents and Artificial Intelligence

Y2 - 19 February 2019 through 21 February 2019

ER -

Designing transparent and autonomous intelligent vision systems

Abstract

Conference

UN SDGs

Keywords

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Testing Intelligent Vision Systems

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Joanna Olszewska

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