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Using AI to Understand and Engage with Constituents

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Using AI to Understand and Engage with Constituents

  1. 1. Dr. Fotis Fitsilis Scientific Service, Hellenic Parliament November 15, 2022
  2. 2. The players  Hellenic Parliament, Scientific Service  Hellenic OCR Team & collaborators  AI study prepared and implemented by: 2 & Hellenic OCR Team Open Government Institute
  3. 3. The Hellenic OCR Team 3  Scientific initiative – volunteered research  Expert network that relies on crowdsourcing  Project based work  Personal and institutional members (currently ~60)
  4. 4. AI Solutions 4  Two-step approach: 1. Brainstorming method (small team of experts) 2. Parliamentary workshop (MPs and practitioners)  Tool: Xleap, https://www.xleap.net  Cloud-based online variant for brainstorming  Parameters:  Relevance values: from 0 (irrelevant) to 10 (must-have)  Priority values: from 0 (2021) to 10 (2030)
  5. 5. Implementation 5  Brainstorming: July 2020  Workshop: March 2021 (GR) & August 2022 (ARG)  Composition (GR): 14 participants from different sectors:  Research Service  IT Unit  Strategy Unit  Library Unit  Emergency response Unit  Projects Unit  MPs & advisors
  6. 6. Brainstorming results 6 36 13 14 17 37 19 13 47 14 0 5 10 15 20 25 30 35 40 45 50 Brainstorming results: 210
  7. 7. Analysis 7 Data for parliamentarians (GR) # AI proposal (short titles; sorted after relevance) 1 Voting systems 2 Text analytics 3 “Smart MP“ systems 4 Smart proceedings/minutes 5 AI-based subtitling 6 Workflow management 7 Digital assistant 8 Smart messaging service 9 Smart debater 10 Chatbot 11 Automatic translation in real time 12 AI-based activity control 13 Predictive analytics
  8. 8. The way forward 8 Prioritize solutions (indicative) 1. AI-based substantive review of contributions from associations, stakeholders, and lobbyists 2. GR Relevance: 8.00; SD: 0.14; Date: 02.2024; SD: 0.20 3. Analyze civic contributions to determine whether they meet minimum requirements for further consideration 4. blue collar labour-intensive 5. Techlonogies: Text analytics, sentiment analysis, summarization, topic modeling
  9. 9. Contact & disclaimer web: fitsilis.gr E-mail: fitsilisf@parliament.gr The information and views set out in this presentation are only those of the author and do not necessarily reflect the official opinion of the Hellenic Parliament 9

Editor's Notes

  • Contributions from associations, stakeholders, and other lobbyists could be analysed by AI-based tools to determine whether they meet the Parliament's minimum requirements for comments and further consideration. If relevant content such as contact details, recommendations, and other items are missing, the sender could be promptly alerted and asked to amend the submitted material. The parliamentary administration may also benefits from such an analysis if, as a result, it comprehensibly records and sorts the arguments of the contributions and bundles identical argumentation patterns. For this purpose, AI-based metadata can be generated and added to the respective contributions. In this case, too, the additional benefit is the reason for the high rating. The current procedure is blue collar labour-intensive and AI support would bring substantial relief for the staff in parliament. A significant part of the workshop participants, 30.8 % or 4 out of 13 (parliamentary journalist, administrator to Special Permanent Committees and two associates to Members of Parliament), belong to administrative units or constitute parliamentary actors that directly interact with external stakeholders. Some of their main responsibilities relate to the exchange of usually pre-defined structured information and data necessary for upcoming parliamentary work and the ex-post summarisation of the main points and arguments of parliamentary hearings, debates or, in the case of the Hellenic Parliament TV, interviews. AI-based tools would assist them by filtering information prior to any debate, thus enhancing the level of political discourse. Moreover, advanced text analytics in the form of summarisation, sentiment or content analysis could speed up the evaluation of the outcome of parliamentary procedures.

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