Page 27 - Preliminary Analysis Towards a Standardized Readiness Framework - Interim Report

Preliminary Analysis Towards a Standardized Readiness Framework

Step-1: An open repository of data would be set up to address the corresponding AI readiness
factor for availability of open data. In combination with existing ITU initiatives such as AI/ML
Challenges, this repository would be mapped to pre-standard research from ITU partners.

Step-2: Creation of an experimentation Sandbox with pre-populated standard compliant
toolsets and simulators, curated by ITU experts would help in studying the impact of the
readiness factors, measuring their impact in specific case studies, use cases, and scenarios.

Step-3: Derivation of open metrics and opensource reference toolsets for measurement and
validation of AI readiness in specific domain wise case studies would further contribute to the
ecosystem of AI readiness.

These steps would not only help us to evaluate the AI readiness along the dimensions of
(1) domains (2) regions (3) AI technologies, but also create a live eco system where this
measurement and evaluation could be validated in the real world.

6. Reference

[1] KHMER ASR, https:// asr .idri .edu .kh/

[2] Srun, N., Leang, S., Kyaw, Y., & Sam, S. (2022, November). Convolutional Time Delay Neural
Network for Khmer Automatic Speech Recognition. iSAI-NLP-AIoT 2022. https:// hal .univ
-grenoble -alpes .fr/ hal -03865538

[3] Open Data Platform, Kingdom of Saudi Arabia, Datasets provided to the public to enhance
access to information, collaboration, and innovation https:// open .data .gov .sa/ en/ home

[4] AI for Road Safety Global Initiative, https:// www .itu .int: 443/ en/ ITU -T/ ITS/ AIRoadSafety/
Pages/ default .aspx

[5] Aljohani, Abeer. A. (2023). Real-time driver distraction recognition: A hybrid genetic deep
network based approach. Alexandria Engineering Journal, 66, 377–389. https:// doi .org/ 10
j
.1016/ .aej .2022 .12 .009
[6] Al-Shammari, H., & Ling, C. (2019). Investigating the Effectiveness of a Traffic Enforcement
Camera-System on the Road Safety in Saudi Arabia (pp. 660–670). https:// doi .org/ 10 .1007/
978 -3 -319 -93885 -1 _60

[7] Alsuwian, T., Saeed, R. B., & Amin, A. A. (2022). Autonomous Vehicle with Emergency
Braking Algorithm Based on Multi-Sensor Fusion and Super Twisting Speed Controller. Applied
Sciences, 12(17), Article 17. https:// doi .org/ 10 .3390/ app12178458

[8] Chen, Y., Xue, M., Zhang, J., Ou, R., Zhang, Q., & Kuang, P. (2022). DetectDUI: An In-Car
Detection System for Drink Driving and BACs. IEEE/ACM Transactions on Networking, 30(2),
896–910. https:// doi .org/ 10 .1109/ TNET .2021 .3125950

[9] Collaboration on ITS Communication Standards, https:// www .itu .int: 443/ en/ ITU -T/ extcoop/
cits/ Pages/ default .aspx

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