Out of Scope
8/20/2025 2:31 AM
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can you please create a high-level summary of the selected part and remove any agency names
Out of Scope
8/20/2025 2:31 AM
can you please create a high-level summary of the selected part and remove any agency names
Copilot in Word 8/20/2025 2:31 AM
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\n\n**Feedback Summary and Actions:**\n\n1. **General Feedback:**\n - No edits were suggested for some documents.\n - Changes were
recommended to reflect the Copyright Review and to track employment and effects of AI on the Creative Sector.\n - Figures for certain policies
were updated.\n - Specific edits were requested regarding R&D, and these were added directly into the document.\n - Questions were raised
about the focus on healthcare as an opportunity and the need for a broader discussion on risk appetite and stance.\n - Emphasis was placed on
exploring cross-agency collaboration, particularly in data sharing and leverage.\n - The strategy should include a people lens, highlighting that
technology delivers efficiency, but culture drives productivity.\n\n2. **Privacy and Trust:**\n - The interplay between AI and privacy was
highlighted, with suggestions to strengthen documents by referencing privacy implications and guidance.\n - Trust in AI among New Zealanders
is low, with concerns about the malicious use of AI and lack of regulation.\n - Public trust needs to grow before embedding AI in the Public
Service.\n\n3. **Support and Strategy:**\n - Overall support for the strategy was expressed, but it was noted that it is not ambitious enough.\n -
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for supporting the policy environment.\n - Public Service AI Training should be included as a key capability.\n - The strategy should commit to a
strong data foundation and periodic review cycles.\n\n5. **Population and Climate Implications:**\n - Population implications for specific groups
and climate impacts of AI adoption were highlighted.\n - International cooperation and contributions to AI use in data production were
suggested.\n\n6. **Regulatory and Financial Considerations:**\n - Financial implications and regulatory impact assessments were discussed.\n -
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highlighted.\n\n8. **Implementation and Success Indicators:**\n - The strategy should include clear objectives, measurable outcomes, and
actions linked to these objectives.\n - Success indicators and key performance indicators are essential for tracking progress and building public
confidence.\n\n---\n\nI hope this summary is helpful! If you need any further details or adjustments, please let me know.
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Sure! Here's a high-level summary of the selected part without any agency names: --- **Feedback Summary and Actions:** 1. **General
Feedback:** - No edits were suggested for some documents. - Changes were recommended to reflect the Copyright Review and to track
employment and effects of AI on the Creative Sector. - Figures for certain policies were updated. - Specific edits were requested regarding R&D,
and these were added directly into the document. - Questions were raised about the focus on healthcare as an opportunity and the need for a
broader discussion on risk appetite and stance. - Emphasis was placed on exploring cross-agency collaboration, particularly in data sharing and
leverage. - The strategy should include a people lens, highlighting that technology delivers efficiency, but culture drives productivity. 2. **Privacy
and Trust:** - The interplay between AI and privacy was highlighted, with suggestions to strengthen documents by referencing privacy
implications and guidance. - Trust in AI among New Zealanders is low, with concerns about the malicious use of AI and lack of regulation. -
Public trust needs to grow before embedding AI in the Public Service. 3. **Support and Strategy:** - Overall support for the strategy was
expressed, but it was noted that it is not ambitious enough. - The strategy would benefit from more discussion on challenges to AI uptake and
improved alignment with other reforms. - Additional AI case studies and clarification on next steps were recommended. - The importance of
targeted external consultation with technology companies and public service agencies was emphasized. 4. **Guidance and Training:** -
Recommendations were made to refer to foundational elements for supporting the policy environment. - Public Service AI Training should be
included as a key capability. - The strategy should commit to a strong data foundation and periodic review cycles. 5. **Population and Climate
Implications:** - Population implications for specific groups and climate impacts of AI adoption were highlighted. - International cooperation and
contributions to AI use in data production were suggested. 6. **Regulatory and Financial Considerations:** - Financial implications and regulatory
impact assessments were discussed. - The need for clearer guidance on supporting the public service in relation to AI was emphasized. -
Questions were raised about safeguards to prevent AI-related harms and the protection of intellectual property and data. 7. **Ethical and Social
Considerations:** - The strategy should address ethical considerations and the potential social and civil opportunities and challenges of AI. - A
coordinated harm-reduction approach was recommended to prevent AI-related harm. - The environmental impact of AI solutions and Māori
Data Sovereignty were also highlighted. 8. **Implementation and Success Indicators:** - The strategy should include clear objectives, measurable
outcomes, and actions linked to these objectives. - Success indicators and key performance indicators are essential for tracking progress and
building public confidence. --- I hope this summary is helpful! If you need any further details or adjustments, please let me know. 😊