Artificial intelligence in government

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Billboard of AI-generated presidential candidate Prabowo and running mate Gibran in Indonesia. Prabowo-Gibran Baliho 2023.jpg
Billboard of AI-generated presidential candidate Prabowo and running mate Gibran in Indonesia.

Artificial intelligence (AI) has a range of uses in government . It can be used to further public policy objectives (in areas such as emergency services, health and welfare), as well as assist the public to interact with the government (through the use of virtual assistants, for example). According to the Harvard Business Review, "Applications of artificial intelligence to the public sector are broad and growing, with early experiments taking place around the world." [1] Hila Mehr from the Ash Center for Democratic Governance and Innovation at Harvard University notes that AI in government is not new, with postal services using machine methods in the late 1990s to recognise handwriting on envelopes to automatically route letters. [2] The use of AI in government comes with significant benefits, including efficiencies resulting in cost savings (for instance by reducing the number of front office staff), and reducing the opportunities for corruption. [3] However, it also carries risks (described below).

Contents

Uses of AI in government

The potential uses of AI in government are wide and varied, [4] with Deloitte considering that "Cognitive technologies could eventually revolutionize every facet of government operations". [5] Mehr suggests that six types of government problems are appropriate for AI applications: [2]

  1. Resource allocation - such as where administrative support is required to complete tasks more quickly.
  2. Large datasets - where these are too large for employees to work efficiently and multiple datasets could be combined to provide greater insights.
  3. Experts shortage - including where basic questions could be answered and niche issues can be learned.
  4. Predictable scenario - historical data makes the situation predictable.
  5. Procedural - repetitive tasks where inputs or outputs have a binary answer.
  6. Diverse data - where data takes a variety of forms (such as visual and linguistic) and needs to be summarised regularly.

Mehr states that "While applications of AI in government work have not kept pace with the rapid expansion of AI in the private sector, the potential use cases in the public sector mirror common applications in the private sector." [2]

Potential and actual uses of AI in government can be divided into three broad categories: those that contribute to public policy objectives; those that assist public interactions with the government; and other uses.

Contributing to public policy objectives

There are a range of examples of where AI can contribute to public policy objectives. [4] These include:

Assisting public interactions with government

AI can be used to assist members of the public to interact with government and access government services, [4] for example by:

Various governments, including those of Australia [10] and Estonia, [11] have implemented virtual assistants to aid citizens in navigating services, with applications ranging from tax inquiries to life-event registrations.

Gerrymandering

Gerrymandering is an insidious method of influencing political process. [12] Depending on the objective of its use, the application of artificial intelligence to redraw districts based on voter distribution and demographic datasets can either contribute to impartiality, or sustain partisan gains for interested stakeholders in the election process. [13]

Other uses

Other uses of AI in government include:

Potential benefits

AI offers potential efficiencies and costs savings for the government. For example, Deloitte has estimated that automation could save US Government employees between 96.7 million to 1.2 billion hours a year, resulting in potential savings of between $3.3 billion to $41.1 billion a year. [5] The Harvard Business Review has stated that while this may lead a government to reduce employee numbers, "Governments could instead choose to invest in the quality of its services. They can re-employ workers' time towards more rewarding work that requires lateral thinking, empathy, and creativity — all things at which humans continue to outperform even the most sophisticated AI program." [1]

Risks

Risks associated with the use of AI in government include AI becoming susceptible to bias, [2] a lack of transparency in how an AI application may make decisions, [7] and the accountability for any such decisions. [7]

AI in governance and the economic world might make the market more difficult for companies to keep up with the increases in technology. Large U.S. companies like Apple and Google are able to dominate the market with their latest and most advanced technologies. This gives them an advantage over smaller companies that do not have the means of advancing as far in the digital technology fields with AI. [14]

See also

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References

  1. 1 2 3 4 5 6 Martinho-Truswell, Emma (26 January 2018). "How AI Could Help the Public Sector". Harvard Business Review. Retrieved 31 December 2018.
  2. 1 2 3 4 5 6 7 8 Mehr, Hila (August 2017). "Artificial Intelligence for Citizen Services and Government" (PDF). ash.harvard.edu. Retrieved 31 December 2018.
  3. 1 2 Zheng, Yongqing Yu, Han Cui, Lizhen Miao, Chunyan Leung, Cyril Yang, Qiang (2018). Smarths: An AI platform for improving government service provision. OCLC   1125199733.{{cite book}}: CS1 maint: multiple names: authors list (link)
  4. 1 2 3 Wirtz, Bernd W.; Weyerer, Jan C.; Geyer, Carolin (24 July 2018). "Artificial Intelligence and the Public Sector—Applications and Challenges". International Journal of Public Administration. 42 (7): 596–615. doi:10.1080/01900692.2018.1498103. ISSN   0190-0692. S2CID   158829602.
  5. 1 2 "Executive Summary - Demystifying artificial intelligence in government | Deloitte Insights". www2.deloitte.com. 26 April 2017. Retrieved 31 December 2018.
  6. ↑ Marten Kaevats on the 'invisible government'
  7. 1 2 3 4 5 Capgemini Consulting (2017). "Unleashing the potential of Artificial Intelligence in the Public Sector" (PDF). www.capgemini.com. Retrieved 31 December 2018.
  8. 1 2 3 4 5 6 7 8 Institute of Public Administration Australia. "In Brief - Artificial Intelligence in the Public Sector". Linked infographic based on information by Daniel Castro, Steve Nichols, Eric Ellis, Cynthia Stoddard (Adobe Chief Information Officer) and Government Technology reporting. Archived from the original on 1 January 2019. Retrieved 1 January 2019.
  9. ↑ OECD (2018). "Embracing Innovation in Government: Global Trends 2018". www.oecd.org. Retrieved 31 December 2018.
  10. ↑ "NDIA recruits Cate Blanchett to voice new avatar". CIO. 22 February 2017. Archived from the original on 1 January 2019. Retrieved 31 December 2018.
  11. ↑ "Exclusive: Estonia's vision for an 'invisible government'". govinsider.asia. Retrieved 2 November 2024.
  12. ↑ Coldewey, Devin (5 September 2020). "AI-drawn voting districts could stamp out gerrymandering". Tech Crunch.
  13. ↑ Cho, Wendy; Cain, Bruce (2022). "AI and Redistricting: Useful Tool for the Courts or Another Source of Obfuscation?". The Forum. 20 (3–4): 395–408. doi:10.1515/for-2022-2061.
  14. ↑ Handbook of Artificial Intelligence and Robotic Process Automation: Policy and Government Applications. Anthem Press. 2020. doi:10.2307/j.ctv20pxz2v. ISBN   978-1-78527-495-4. JSTOR   j.ctv20pxz2v. S2CID   242891260.

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