Page 51 - AI Ready – Analysis Towards a Standardized Readiness Framework
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AI Ready – Analysis Towards a Standardized Readiness Framework




                     Examples                             Potential AI impacts
                                                     Characteristics
                                  1.  Level of impact of the use case – does it affect human lives
                                  2.  Preventive interventions vs. post-facto interventions (e.g. how to prevent
                                     accidents vs. How to save victims of accidents)
                                  3.  Decision-making and investment – e.g. who deploys the sensors? Are
                                     there subsidies?
                                  4.  Goals and priorities – determine the timelines for deployment of different
                                     solutions.
                                  5.  Standard offline validation tests (e.g. Field Sobriety tests)
                                  6.  Explainability of models and validation by experts in the loop.
                                  7.  Regulation and standards on Power saving for low-resource deployments
                                     such as farm sensors.
                                  8.  Ruggedness, water/dust proof IP66 [15], IP65 [15]
                                  9.  Domain-specific Standards e.g. BAP 1000, ASC shrimp standard, Global
                                     GAP Aquaculture standards, ISO 9001: 2015, ISO 22000: 2018
                                  10. Regulations related to data capture e.g. drones with geo-restrictions,
                                     height restrictions on flight)
                                  11. tropical peatland fire weather index (FWI) system by combining the
                                     groundwater level (GWL) with the drought code (DC) [48]
                   Regulations
                   and vision,    12. Time series, government data related to agriculture, including crop
                   including         production, land use, water use, market prices, weather patterns, and
                   standards         government schemes. Dissemination of best farming practices, and
                                     resource distribution plans [67].
                                  13. Interoperability and compatibility of cross-region data (e.g. early warning)
                                     and generated advisories [50].
                                  14. Regulations and penalties related to Power availability KPIs [51]
                                  15. Regulations on ethical usage of such emerging technologies and
                                     enabling data security interoperability and user privacy in similar plat-
                                     forms [59]
                                  16. Drone field of vision, height of the flight path [60] during image capture.
                                  17. Human expert oversight and supervision is important for medical diagno-
                                     sis [68], integrating expert feedback in AI model inferences [71]
                                  18. International sign languages and regional sign languages [77] [2] and
                                     accessibility standards such as machine translation systems for specific
                                     languages [43].
                                  19. Authorized CCTV camera usage [1], When using open-source models,
                                     ensure that the copyright and license agreements for the models are
                                     adhered to [1].
                                  20. AI-based Autonomous Operations of 5G/6G networks require monitoring
                                     and human supervision [93]
























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