Problem / Objective

Governments are incorporating Artificial Intelligence into decision-making that performs very well and gives beneficial results. Such as they deployed AI systems for managing hospital operations and capacity, regulating traffic, and determining the best way to deliver services and distribute social benefits for the growth of the country and nation.

However, some government AI systems are treating or targeting a specific community unfairly or unwittingly. It makes decisions by being biased against a particular portion of its constituencies. The primary reason for such issues is the way it is created and trained.

For instance, when college entrance exams were canceled due to this pandemic, the UK government used an AI system to check student performance and determine grades. An algorithm is designed in such a way that determines the grades of students based on their past performance. It is noticed that systems are having a bias against some students. It reduces the grades of approximately 40% of students that revoked their admissions. It was biased against a test taker from a challenging socio-economics background.

Solution / Approach

The solution with Responsible AI allows delivering AI applications responsibly and ethically. A complete roadmap for a responsible AI program can be created using its principles, policies, and regulation that could deliver human-centered AI.

Solutions for Responsible AI Government

Governments are using Responsible AI in various of its department for several use cases to make the government process smart, trustworthy, and intelligent.

Impact / Implementation

According to a report, 92% of US citizens said that the improvement in digitization services and the use of AI improves the Government's image for them. So, governments can invest in AI to improve the services and societal tasks that will increase the trust of their citizens.

Lack of accountability and bias in data of AI models undermines the prospects of AI uses for good. A system is required that can recognize ethical, moral, legal, cultural, and socioeconomics implications. It encourages a human-centered, trusted, accountable, and interpretable AI system.

Let's discuss the impact of responsible AI frameworks implemented in our AI applications.

Mitigate bias risks and ethical issues.

Responsible AI principles to increase awareness and encourage the use of Trustworthy AI.

Address public and societal challenges and safe human rights.

Serve the citizens and growth of societal values.

Improve the trust of a citizen in their government that increases the speed of growth of a nation double.