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September 11 - September 12, 2024
ICSD 2024

September 12 - September 12, 2024
Public Sector Strategies Against Climate Change

September 26 - September 26, 2024
Public Sector Economy Performance: Study Results and Dashboard Launch

October 1 - October 3, 2024
Financial Management and Control of New EU Structural Funds Programmes 2021-2027

October 3 - October 3, 2024
Collaborative Governance: Avoiding Pitfalls and Materialising Promises

October 14 - October 16, 2024
EU Law for Non-Lawyers

October 17 - October 17, 2024
Beyond Borders: Innovating Customs for a Connected World

October 22 - October 24, 2024
Monitoring and Evaluation of EU Structural and Cohesion Fund Programmes

November 6 - November 12, 2024
Cohesion Policy Project Appraisal 2021-2027, CBA, and Economic Appraisal

November 6 - November 15, 2024
Understanding EU Decision-Making

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Capacity Development Snapshot 2023 of the UN DESA/DPIDG

Central European Public Administration Review accepted for inclusion in Scopus

Central European Public Administration Review - new issue has been published

Call for applications for Public Sector Innovation and eGovernance MA programme

UNPAN Partners’ Newsletter July – August – September 2023

INVITATION:KosovaPAR2023 Conference on PAR for an Agile and Resilient Governance

DPIDG/DESA and the International Budget Partnership (IBP) Handbook for Auditors

CEPAR new issue Vol 21 No1 (2023)

Call for papers for EGPA 2023 Conference, Zagreb, Croatia, 5-7 September 2023

Freedom House NEW REPORT: Global Freedom Declines for 17th Consecutive Year

EVENTS from Other Institutions

Advancements in Artificial Intelligence in Public Administration

July 3, 2024 - July 4, 2024


Venue: Maastricht (NL) & online

Organizer(s): European Institute of Public Administration (EIPA)

Language: English

Contact: Programme Organiser
Ms Eveline Hermens
Tel: +31 43 3296259
e.hermens@eipa.eu

Info link: https://www.eipa.eu/courses/artificial-intelligence-public-administration/

As artificial intelligence (AI) continues to transform the functions and objectives of public administrations, it has become increasingly critical for senior officials, project managers, and decision makers to follow, and react to, and anticipate advancements in AI development and deployment.

This two-day intensive course is designed to equip participants with the necessary skills and tools to navigate a complex system of digital policy. This includes designing and delivering strategies for introducing AI within the public sector, as well as developing the foresight and vision to prepare for a future fit for trustworthy AI.

As AI technologies become more ubiquitous in public life, it is essential that ethical, social and legal considerations are at the forefront of AI development, deployment, and regulation. Following an intensive period of digital policy enactment, public officials must begin the transition into implementation, compliance and monitoring to maximise and spread the benefits of AI innovative while mitigating its harms and risks.

What will you learn:

Understand the latest advancements in AI developments and their implications for public administrations in the upcoming years
Gain a comprehensive overview of existing AI regulations at the national and EU levels, including key legal principles and requirements, and their interplay.
Confidently navigate recent developments in AI regulation, including proposed legislation, regulatory initiatives, and international standards, to be able to produce and implement sustainable and effective strategic plans.
Develop unique and tailored strategies and best practices for identifying, assessing, and mitigating risks associated with AI implementation in the public sector.
Refer to and implement existing ethical frameworks, risk and impact assessments, and good practices principles guiding the responsible use of AI within public administrations, including transparency, accountability, fairness, and inclusivity.
Draw knowledge from AI use cases to derive practical insights from real-world environments, enabling participants to make informed decisions and effectively manage AI projects within the public sector.
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