Page 114 - Arts Innovation Report_2022_May11
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RECOMMENDATION 3.1
                       建議


               1.  利用人工智能、區塊鏈、大數據及 5G 等新科技                      2.  促進傳統和新興文化內容的公私營數據共享
                  Utilise new technologies such as AI, blockchain, big      Facilitate private-public data sharing across traditional and
                  data, and 5G:                                    new/emerging cultural content:
                  拓寬和豐富文化機構和相關行業參與者於供需兩                            建立公私營合作關係,綜合更多資源,並提升來自博

                  方的文化數據收集,並對已收集的數據進行深層                            物館、劇場、資料館、古蹟遺產、電影院、畫廊等一
                  次分析和解讀。                                          系列文化機構的數據質量。
                  人工智能和區塊鏈等新科技能惠及文創產業。例                            Forge public-private partnerships to build more integrated
                                                                   sources, and enrich the quality of data from a range of
                  如,作為人工智能的應用,機器學習可以實現更
                                                                   cultural organisations, such as museums, theatres, archives,
                  全面和自動化的文化數據分析;區塊鏈則可以透
                                                                   heritage sites, cinemas, galleries, etc.
                  過分散式賬本技術,令數據存證更加透明、具追
                                  44                            3.  為數據的收集、處理、分發和存取訂立範圍
                  溯性和防止篡改。
                                                                   Define the scope for data collection, processing,
                  Widen and enrich the collection of cultural data from   distribution, and access:
                  cultural organisations and relevant players from supply
                                                                   建立一個集數據收集、數據清洗和處理 / 整合為一體
                  to demand sides, and enable more sophisticated
                  interpretation of collected cultural data.       的核心平台,並開放數據存取權限。各政府部門之間
                                                                   應有統一標準。
                  New technologies such as AI and blockchain can      Establish the key contributors to data collection, data
                  benefit the CCI. For instance, machine learning as a
                  subset of AI can enable more comprehensive and   cleaning and processing/consolidation, as well as providing a
                                                                   platform to enable data access requests by approved parties.
                  automated cultural data analysis; blockchain can
                  allow for more transparent, traceable, and tamper-  This should be standardised across government departments.
                  proof data storage with the use of distributed ledger   4.  協助政策制定和行內決策
                  technology. 44                                   Assist policymaking and decision making in the CCI:

                                                                   為公共政策制定和行業策略性決策提供關鍵、有用的
                                                                   見解。
                                                                   Provide useful insights to inform public policymaking and
                                                                   strategic industry decisions.


               44 分散式帳本技術可讓資訊在網上多個位置被存取、驗證和記錄,而且不被篡改。
                  Distributed ledger technology (DLT) is a technology that allows access, validation, and record of information across a network that is spread across multiple locations, in an immutable manner.

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