How Estonia Is Leading The Way
Its hard to believe that just 30 years ago, the small Baltic state of Estonia was lacking many of the services modern governments take for granted. Nowadays, the country has not only bounced back from decades of Soviet administration but become a model for the way digital transformation can boost efficiency, security, transparency and inclusivity in the public sector. Whats more, innovation is booming: Estonia boasts six times more start-ups per capita than elsewhere in the European Union.
Predicting Fire Risk In Buildings
Atlanta Fire Rescue Department
AI researchers from Georgia Institute of Technology, Emory University, and the University of California, Irvine worked with the Atlanta Fire Rescue Department to develop a predictive analytics software aimed at identifying buildings that have a higher likelihood of fire incidents.
The researchers developed Firebird, which purportedly uses historical data for 58 variables made available to them by the AFRD. This includes data such as property location, fire incidence, building size, building structure, and year built for the period 20102014. The data was fed to an AI predictive analytics software and the algorithms were tweaked to forecast fire risk scores for 5,000 buildings. According to the university, the software accurately predicted 73% of fire incidents in the building.
In the 2-minute video below, university researches explain how the Firebird software predicts fire risk in Atlantas buildings:
Renovating Privacy And Security Mechanism:
The government holds information about the public, government officials, businesses, etc. This information needs to be secured and protected from fraud committers to avoid malfunctions of private information. Integrating AI systems can help in automating and securing information through embedding machine learning algorithms that detect disruptions in the digital database and secure the information from cybercriminals.
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Artificial Intelligence For Government Include:
Automated communication with citizens
Personalised learning path in education
Prediction in road traffic accidents
Emergency response and assistance
Tracking illegal ads in social media
99% of public services in Estonia are available as e-services, and Estonia continues to invest heavily in technology and artificial intelligence for the public sector. Lets take a look at some of the most interesting artificial intelligence government applications currently being explored in Estonia.
Ai And Personal Assistants
AI-powered personal assistants like , and Apple HomePod are examples of virtual assistants that can perform basic tasks, but will become increasingly smarter over the years to come, getting better and better at handling most of our daily activities. For example, Amazon has launched a smarter new microwave that works with Amazon Alexa . However, some consumers fear that it will be able to listen to their conversations and invade their privacy, perhaps by suggesting products to buy, analyzing their voices to detect if they are ill, or worse.
I also recommend to read this New York times article ?
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So What Can Ai Do For Governments
Whilst the capabilities that AI presents are wide-ranging and interconnected, there are four clear techniques that AI programs can deploy to improve both the outcomes governments seek to achieve and the way in which they make policy:
1. Predictive analytics
4. Natural language processing
1. Predictive analytics
Better predictions can enable governments to implement preventive and/or more targeted policies. For example, by using massive training datasets to select the attributes that best predict an unknown function such as an inmate’s risk of reoffending, AI can help both policymakers and frontline civil servants to make predictions in a way that is more comprehensive and less subject to human bias.
The second goal is to provide predictions on the basis of incomplete information. For instance, predictive analytics can be used to map a complex decision tree of all possible outcomes, which will then simplify human decision-making.
Here, the goal is to automatically detect individual data records or patterns within massive and complex datasets in order to identify those that are abnormal or unusual.
specific area of the city, such as a higher density of toxic particles in the air.
3. Computer Vision
4. Natural language processing
Importance Of Ai And E
1. It simplifies the process of gathering and accumulation of government information regarding any department to the citizens and business.
2. It helps citizens and businesses to participate in the processes of decision making, before developing or implementing any new law or policy.
3. It is the best way to eliminate corruption by automating the services and ensuring transparency in the information communicated and it is easily accessible to the public.
4. Ease of availability of government services 24*7 for every citizen through online applications.
5. E-governance helps business access information that is important at a click away.
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Contributing To Public Policy Objectives
There are a range of examples of where AI can contribute to public policy objectives. These include:
- Receiving benefits at job loss, retirement, bereavement and child birth almost immediately, in an automated way
- Social insurance service provision
- Classifying emergency calls based on their urgency
- Detecting and preventing the spread of diseases
- Assisting public servants in making welfare payments and immigration decisions
- Adjudicating bail hearings
- Scheduling appointments
Examples of virtual assistants or chatbots being used by government include the following:
Artificial Intelligence Examples And Use Cases
Artificial intelligence is starting to be utilized in almost every aspect of the business world, and this article showcases 21 interesting examples and use cases of this.
The article is divided into two categories. The first category discusses 10 examples and use cases related to business processes that will be changed by artificial intelligence, and the second covers 10 examples and use cases related to industries being changed by AI.
As you read, think about whether there are any examples of how artificial intelligence is being used in business today that you would suggest I add to this list. If you think of any, please feel free to post them in the comments section.
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Ai In The Government And Public Sector
Federal Cyberdefense Solutions
Cyberdefense is a subject that has been in the media spotlight in recent times after the revelations of Russian interference in the U.S. election process. With increasingly sophisticated forms of attack, its imperative that governments have technology available that can defend against such attacks.
Technology company NVIDIA, together with Booz Allen Hamilton, have teamed up to build machine learning and deep learning solutions that can detect cyber threats faster and more efficiently. The end result promises stronger federal cyberdefense and governments that are less susceptible to outside interference in their democratic processes.
Predictive Traffic Congestion
Busy urban areas are often plagued with traffic congestion issues that local authorities struggle to contain. Part of the problem is that traffic congestion is surprisingly difficult to predict. Aside from the key rush hour times, traffic can build up at other times over the course of the day, causing significant backlogs on roads.
In an interesting 2016 paper, the results of an experiment to use deep learning methods for predicting short-term traffic conditions revealed excellent predictive value at 90 percent. Being able to predict traffic conditions hands the power back to local authorities and the personnel responsible for traffic control, assisting them in taking proactive measures to ease traffic congestion across the busiest areas of a citys transport infrastructure.
Creating A Culture Of Innovation
Creating a culture of innovation is one of the most challenging steps that government officials can undertake in order to break through bureaucratic inertia and encourage responsible AI adoption. They need to instill in their structures, operations, and management styles the idea that change is helpful and experimentation is desirable. Pilot projects should be established for small-scale AI applications that do not hurt the general public, but provide agency experience in algorithm development and deployment. Projects that prove successful can be scaled up and deployed more broadly.
Creating a culture of innovation is one of the most challenging steps that government officials can undertake in order to break through bureaucratic inertia and encourage responsible AI adoption.
It is difficult to know how to build these kinds of organizational cultures, but management leadership plays a key role. Government officials need to create sandboxes for experimentation that provides low-risk chances to design new products and services and test them in a limited way. This will help refine the products and reduce the problems when large-scale deployment takes place.29 It inculcates a culture of change that, in the long run, will improve agency operations and lead to a workforce that is willing to experiment, take acceptable risks, and learn how to deploy digital products more effectively.
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Overcoming Resistance To Change
Achieving substantive change requires strong leadership and support for technological investment and adoption. While the opportunities for AI to significantly enhance the functions of government and the quality of its services are apparent, the barriers that have slowed the implementation of AI remain in place.
Implementing AI requires significant investment to update legacy data and computing systems. Patience is also required, as the journey to scale AI-powered government is long and complex. Public servants are sometimes frustrated by the lack of progress of previous technology-based transformation initiatives. They must be reengaged.
Building better government for a brighter future demands difficult change management, and it requires rethinking organizational processes, recruiting and retraining civil servants, upgrading technology and tech skills, and understanding individuals needs and concerns. Furthermore, because cross-functional management is not standard in government, there is a natural tendency to focus on narrow AI use cases or limit applications to specific sectors that address immediate needs, especially during a crisis. A narrow focus makes it harder for leaders to engage an entire government in achieving ambitious goals. Leaders must be bold and think big. Failure to take a broad perspective will result in only partially capturing AIs full value potential.
Ai And Leadership Teams
As we are living more and more in the digital economy, it is becoming increasingly vital that business leaders use AI and data to make decisions. Several companies, like the Finnish IT firm Tieto, have opted to include AI as part of their leadership teams. As the business world and society become more complex, AI tools that analyze huge amounts of data become crucial, as they can assist leaders in making better decisions based on data and evidence.
Implemented Effectively Ai Can Generate Benefits For Public
Smarter Policymaking. AI has the potential to enhance the effectiveness and efficiency of each stage of policymaking by giving decision makers the tools to deliver more value to their constituents. AI and data analytics can make sense of demographic, consumption, behavioral, and other trends in nearly all government sectors, thus helping policymakers identify emerging issues and intervene with smarter policies and a more accurate understanding of their impact and costs. As policymakers formulate responses, advanced prediction, simulation, digital-twin, and optimization capabilities can help them evaluate a more comprehensive range of alternatives and find the best courses of action. Natural-language processing can identify similar or overlapping policies and eliminate conflicts prior to implementation. Once policies are implemented, social media sensing can scan for constituent sentiment and feedback. AI-enabled tools have the potential to provide regional and local leaders with the types of insights and analysis that were previously possible only at the national level, allowing policies to be better tailored to local conditions.
Artificial Intelligence And Agriculture
Agricultural drones, autonomous tractors and vertical agriculture based on AI technology will completely transform the agriculture industry and allow farmers to consume less water and natural resources.
AI-powered vertical farming can help us to provide healthy food in cities. This documentary by Bloomberg showcases how this technology is being used to grow kale in a factory in New Jersey.
Artificial Intelligence And Retail
The retail industry is one of those that will be most impacted by the development of AI. Shops and supermarkets without cashiers will be a reality in the coming years. AI technologies will bring great improvements to inventory and supply-chain management. Robot assistants will share shopping information with customers and perform many repetitive tasks in retail stores.
This BBC Click documentary about AI and jobs, which is about 25 minutes long, devotes about 20 minutes to presenting different use cases of robots that are already being implemented in the retail industry. Everyone should watch this video to gain a better understanding of AIs impact on retail.
I also recommend reading this article in which I cover how robots are being used in education.
Ways Ai Can Be Used By The Government
There is much debate surrounding artificial intelligence and how it should be used in multiple settings. Recently, even members of Congress weighed in on what they believe AI would and would not be useful for. The debates not only focus on potential applications but ethical considerations as well.
We asked members of the Forbes Technology Council for ideas on how the United States government could use AI to become more efficient and leverage this technology. The answers varied, but all centered on making the government work better and faster.
1. Case Loads
Throughout the government, there are backlogs of many types: cases, requests, applications, etc. Well-trained “YesBots” could speed through these and could answer “yes” to the ones that are definitely going to get a yes when a human sees them. This could reduce the size of the backlogs, let humans focus on the challenging requests and speed up the answer of “yes” for millions in the queue today. – Timothy McGuire, Sound United
2. Recruiting Automation
The U.S. government is the largest employer in the world, and it’s no stranger to one of the biggest challenges among all organizations: hiring adequate talent. One way the government could take advantage of AI is to adopt recruiting automation technology to streamline candidate sourcing, automate interview scheduling, promote diversity hiring and mitigate unconscious bias. – Jon Bischke, Entelo
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Now Is The Time For Ai
The rapid development of artificial intelligence in recent years has generated solutions to many of the most pressing operational challenges governments faceand is now being used to combat a global health crisis.
Governments have used AI to manage budgets, detect fraud, and forecast and limit energy consumption. In addition to solving challenging problems, these AI solutions have the added benefit of providing data for evidence-based policymaking, which strengthens support for additional use cases and enables data-driven decision making. As the private sectors groundbreaking AI investments and innovations mature, there is an even greater opportunity for the public sector to push the boundaries of how AI is applied.
But there is a big challenge. While a handful of governments have successfully used AI and digital technology to streamline, expand, and improve some services while lowering costs, most have been slow to pursue full digital transformations and lag behind rising AI-powered companies. In the face of intense public scrutiny and the broader political process, government decision makers are cautious about pursuing big changes and the investments AI requires, especially in these times of rising budget deficits and fiscal uncertainty.
Artificial Intelligence And Government
AI can be used by governments in a variety of ways, such as to increase public safety through facial recognition and other AI technologies. Governments can also use AI to analyze large amounts of citizen data in order to create predictions and better prepare for different situations related to public health, education and other important matters.
The above is just a small summary of the drastic changes that AI is already generating in different industries and sectors. However in the future we will see several other use cases and examples of artificial intelligence.
Companies and managers who are able to understand and prepare for these radical changes will have greater competitive advantages, while companies that ignore them will suffer great difficulties. I recommend to review the 9 reasons on why artificial intelligence is important now and the most common questions and answers of artificial intelligence.
Although there are several AI applications that are still in their initial phases, it is vital that all companies begin to investigate how to apply AI within the next three to four years.
Which artificial intelligence examples and use cases would you add to the list?
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Artificial Intelligence Government Applications Include Emergency Response
If theres one thing that has been brought to light by the 2020/2021 health crisis, its a worldwide lack of disaster preparedness. The need for a timely, coordinated response isnt just imperative when it comes to pandemics. It also applies to large-scale weather events, natural catastrophes, geopolitical tensions and terrorist attacks alongside personal accidents and emergencies, whether at a local, national or global scale.
When disaster strikes, the ability to respond immediately, precisely and effectively is vital. At this point in time, the emergency notification process tends to be extensive and complex. When a person calls the emergency services to report an incident, a lot of valuable risk assessment time is lost on trying to understand exactly what the situation is. Callers in panic are not always able to provide objective, relevant information, while call quality and background noise can affect dispatchers ability to accurately evaluate a situation.
According to recent Microsoft research into the California wildfires, AI is one of the most effective ways to minimize the fallout from major incidents. The study states that More adoption of AI could enable emergency management agencies to rally more precise responses to events more quickly, potentially saving lives and reducing property damage, or to cut costs on preventative capital improvement projects.