Table of Contents
AI in Government: Use Cases and Challenges
The need to provide faster service, adopt to the digital requirements and address the expansion of data in all government transactions is pushing agencies to look into technology and digitalization to assist them.
Government agencies around the world recognise the potential and benefits of AI and there is growing curiosity among different agencies in adopting AI to improve their services. However, AI adoption in government is met with curios eyes but many are keeping it at an arm’s length due to the uncertainty of how to start.
The benefits of adopting AI in Government have led to innovation and attainment of outcomes such as increased protection of Australia’s unique biodiversity, preventing accidents in dangerous intersections, finding criminals faster, and reducing fraud.
AI in Government augments human intelligence, improves revenue collection citing at least 3% increase due to data analytics capabilities, 80% reduction of staff workload through internal chatbot for case processing. It is estimated that AI will contribute $16T to the global economy in 2030.
Rad Anandakumar is a leading expert in data analytics, machine learning, and AI, with a career spanning more than 2 decades. As an AI + Data Technology Strategist, he has led digital transformations and AI-driven business solutions, working with cutting-edge technologies like Generative AI, IoT, and predictive analytics.
Responsible AI
The core of Government business is trust, transparency and ethics. In everything it does, it must take into account these three factors. AI adoption in various agencies must also have these values embedded into its system.
Fairness
AI systems should treat all stakeholders equitably and should reinforce undesirable stereotypes and biases.
Privacy and Security
Programs should protect data from misuses and ensure privacy rights.
Accountability
The people who design and deploy AI systems must be accountable for how their systems operate.
Transparency
AI systems and their output should be understandable to relevant stakeholders.
Reliability
It must be designed to perform safely even in the worst-case scenario.
Inclusion
Systems should empower everyone regardless of ability and engage people by providing channels for feedback.
Microsoft Applications and Platforms for Government Adoption of AI
AI Use Cases in Government
Enable Remote Government Access
AI for Paperless Court System to unify court data in the US Federal Government and accelerate virtual hearings.
Using AI remove language and accessibility barrier by translating and transcribing judicial proceedings in real-time to enable a truly democratic process.
The outcome is a digital court system with improved efficiency, quality and trust of justice through streamlined, integrated and transparent operations.
Intelligent Conversational Agents: Respond to citizen queries around the clock and receive personalised recommendations.
Service citizen requests in real-time, anytime on any devise and through any digital channel with AI. Using spoken natural language as the primary user interface to validate citisens and respond to their requests immediately. This will provide satisfying service that is fast, helpful and available to them any time.
Empower Cross-Agency Collaboration
Tax Fraud Prevention to enable insights to identify and prevent tax fraud.
Inspect millions of transactions in real time to identify and prevent tax fraud. Perform predictive risk modeling and scoring to identify known tax fraud patterns and anomaly detection for unknown patterns. This will result to an accelerated responsiveness with critical and timely insights to protect your citizens.
Deliver Trusted and Secure Services
Deliver Connected Government Services with high-quality, live-speech-to-text translations in 24 languages.
AI-based crisis management assist first responders in saving time by providing timely insights from location-specific data that includes next-best recommended action. Digitise, personalise and accelerate response management by proactively directing first responders to crisis scenes.
The outcome is a friction less first response through enhanced situational awareness for maximum impact.
Empower Cross-Agency Collaboration
Tax Fraud Prevention to enable insights to identify and prevent tax fraud.
Inspect millions of transactions in real time to identify and prevent tax fraud. Perform predictive risk modeling and scoring to identify known tax fraud patterns and anomaly detection for unknown patterns. This will result to an accelerated responsiveness with critical and timely insights to protect your citizens.
Other common use cases include Automation.
The explosion of data requires the government agencies to do more with less. Manual work is not just possible and practical anymore. Most common uses include expense automation, text summation, intelligent triage using Natural Language Processing (NLP) and texgt analytics, and cognitive search.
AI has specifically helped government in monitoring ecological and natural assets that aided in their protection and preservation.
Challenges and Barriers in Adopting AI
Common Concerns
People
Most government agencies don’t have skilled, trained and knowledgeable individuals who can lead AI adoption. And if they work with vendors and partners, the question has always been where and how do they start. Who can they work with in the AI space?
Process
Government has not been setup to democratise use of data. Their original structure has not been setup for networking. Often they work in silos. Modern data platforms are changing this. Thus, data governance and security will be highly influential important for these agencies when considering new technology.
Technology
Most government agencies wouldn’t know how to start their AI and platform modernization as this entails choosing technology, navigating the market for vendors and system to working with trusted partners. AI adoption for government services must always be ethical.
Get in touch with AI Consulting Group via email, on the phone, or in person.
Send us an email with the details of your enquiry including any attachments and we’ll contact you within 24 hours.
Call us if you have an immediate requirement and you’d like to chat to someone about your project needs or strategy.
We would be delighted to meet for a coffee, beer or a meal and discuss your requirements with you and your team.
Rad Anandakumar is a leading expert in data analytics, machine learning, and AI, with a career spanning more than 2 decades. As an AI + Data Technology Strategist, he has led digital transformations and AI-driven business solutions, working with cutting-edge technologies like Generative AI, IoT, and predictive analytics.
