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Safe AI Systems

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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Year of Publication: 2018
Authors:
Ananta Bhatt
10.5120/ijca2018918205

Ananta Bhatt. Safe AI Systems. International Journal of Computer Applications 181(31):39-42, December 2018. BibTeX

@article{10.5120/ijca2018918205,
	author = {Ananta Bhatt},
	title = {Safe AI Systems},
	journal = {International Journal of Computer Applications},
	issue_date = {December 2018},
	volume = {181},
	number = {31},
	month = {Dec},
	year = {2018},
	issn = {0975-8887},
	pages = {39-42},
	numpages = {4},
	url = {http://www.ijcaonline.org/archives/volume181/number31/30189-2018918205},
	doi = {10.5120/ijca2018918205},
	publisher = {Foundation of Computer Science (FCS), NY, USA},
	address = {New York, USA}
}

Abstract

This Report highlights the development in AI both the positive and negative aspects introduced with this development. Ultimately pointing out the importance of development of safe AI systems.

As you know, it is inevitable to cease the advancement in AI because of the quest for developing systems that learns from experience and comply with the human capabilities. The leading ground-breaking impacts offers both positive and negative aspirations and are addressed as part of this research. To meet with the evil effects of the AI systems, is now the need of the hour to direct the focus on creating safe AI systems. The safe system must satisfy with 2 majors- applying the security measures and analysing the system. Moreover, system must fulfil the risk and safety values- intelligence, goals and safety in order to minimise the destruction that may occur due AI technology. However, further research is needed on the actual implementation of the safe AI systems in order to proceed with this research.

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Keywords

Safe system, risk and safety values.