Every day the concept of artificial intelligence (AI) is greatly changing and expanding. With new forms of technology, machine learning and artificial intelligence continues to grow and expand throughout the work force.
But how will people comprehend the outcomes of artificial intelligence? How will they explain it to a co-worker who may not understand the statistical and technical outcome?
The answer is explainable artificial intelligence (XAI)!
What is XAI?
XAI is a new and emerging area attempting to focus on increasing the transparency of AI processes. The overall goal of XAI is to help humans understand, trust, and effectively manage the results of the solution of AI technology.
The main objective of XAI is to produce more explainable AI models while maintaining a high level of learning performance/prediction accuracy.
XAI aims to inspect and reflect the steps a machine took when making a decision or taking an action. It does so in a two-step process of interpreting and comprehending the AI model’s decisions and explaining the model’s decisions from one human to another without being an expert and with both people fully understanding the decision.
Benefits of XAI
While using and adapting to XAI, there are plenty of benefits that come with it. These benefits could help you and your company thrive no matter the industry.
According to Philip Pilgerstorfer, a Data Scientist and XAI specialist for QuantumBlack, these are just some of the benefits of adapting XAI:
- Build user trust
- Satisfy legal requirements
- Provide ethics-related justification
- Derive actionable and robust insights
With new technology and different techniques being developed, many companies and industries are adopting XAI techniques and strategies to help their company become more effective.
XAI in Industries
Many industries are adopting XAI techniques and strategies into their own companies. With technology consistently changing and new techniques and methods are being developed, it is important to adapt to those changes.
According to auromind.org, these certain industries have already adopted to XAI and what they would use XAI for.
Healthcare
Machine learning and AI technology is already used and implemented in the healthcare setting. However, doctors are unable to account for why certain decisions or predictions are being made. This imposes limitations on how and where AI technology can be applied.
With XAI, doctors are able to tell why a certain patient is at high risk for hospital admission and what treatment would be most suitable. This enables doctors to act based on better information.
Financial Technology
Financial institutions such as Capital One and Bank of America are actively leveraging AI technology. They look to provide their customers with financial stability, empower financial awareness, and help them better manage their spending.
With XAI, this is possible in providing fair, unbiased, and explainable outcomes to help their customers and service providers understand the results of the solutions. It allows financial institutions to ensure compliance with different regulatory requirements while following ethical and fair standards.
Security and Defense
XAI is one of the main initiatives of DARPA to enable their third wave AI systems. With XAI, these systems give not only accurate predictions but also provides an understanding of the context and environment in which they operate.
The main challenges of this sector are mainly in areas of classifying events of interest from multiple multimedia data sources along with constructing decision policies to perform a variety of simulated missions.
Conclusion
XAI is a new and emerging area that helps humans better understand the outcomes and decisions their AI technology makes in a way that they can comprehend.
There are many benefits that come with the adoption of XAI techniques and strategies that could help your company become more efficient.
Adoption of XAI is also being implemented and tested daily in many different industries ranging from healthcare to financial technology, as well as security and defense. Soon enough most industries will adapt to XAI technology.
With more advanced technology and ways of learning, being able to adapt to these changes and understanding them provides a significant importance in order for a company to become successful. Companies will need XAI to help them understand the results of the solutions that are provided. The adoption and learning of XAI is more important now than ever.
