What is an Explanable AI (XAI)
The world is gradually shifting it course to what happen to be artificial intelligence trend, more and more institutions are embracing the new technology and profiting from it although the world of blockchain technology can't just be pushed aside because of AI, in terms of security cryptography still stand as top notch.
AI no doubt have taken most people by surprise and as the world continue to evolve towards harnessing more technological innovation we need to always equip ourselves with new trends and move along with what's trending there are no substitute for knowledge and there is no end to it as well.
Artificial intelligence machines, chatbots, chatgpt openAI are some of the popular AI's that have make wave lately in most social platform there are more to this AI and one of them is what is known as Explanable AI (XAI).
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what is an explanable AI
Decades ago experts, researchers, engineers and finance analyst depend/rely on other experts in a specific field to explain complex theories by breaking down those complex theories to average users understanding fast forward to years back we had Google and other research tools to make complex information more simplified for our understanding today with the help of AI it has been made even more simpler for experts to interact conveniently with explanable AI and get required detailed information on any complex data.
An explanable Artificial intelligence (XAI) is a powerful tool used by researchers, scientists, engineers, financial institutions and health professionals in answering critical how? And why? Questions about AI systems it can also be used in addressing legal and ethical issues concerning AI.
In a nutshell XAI are tool used to fact check precision in AI and increase level of trust between human and AI.
XAI set of processes and methods that allows human users to comprehend and trust the results and output created by machine learning algorithms.
Source
A real world hypothesis carried out
A hypothesis was carried out in production line where workers run heavy production duties. An expert was hired to design an AI model that will help frontline workers in making safety decisions, turns out after the design was finished the workers did not improve on their safety decision making what went wrong according to research the hypothesis carried out depict the role that explanability play out in the world of AI.
The target users did not trust the AI system because they don't know how it end up making its decision for providing safety for the workers. This is where explanable AI comes in handy with the new AI tool more model and explanation will be provided to the workers on a step by step guide why and how the hypothesis model was designed and will in turn build trust between the workers.
Benefits of explanable AI
Explanable AI comes with benefits of boosting confidence in users to AI use it can be use to foster innovation and make business stay ahead of competitions. Below are some significant benefits of XAI
Minimizing cost of mistake; in finance, legal and medicine AI modeling can be use to make sensitive decisions which require high oversight and prediction.
Reduce impact of modeling bias; decision making criteria for selecting genders on payment que there are no sentiments attached with AI model all it understand it giving out necessary output without considering racial discrimination.
Informed decision making; with XAI model we can boost our business revenue by making analysis on how our sales outcome will be for the subsequent month and year.
where can XAI be used
There are certain machine learning algorithms that are beyond human comprehension we can certainly decipher how some machine works with the help of XAI it can easily relate to end-user how data are processed for human use.
Healthcare
There are certain machine learning and AI technology used in healthcare sector however doctors can't certainly account for why these machine make certain decision these are limitations faced in the health system.
With XAI, doctors can tell why certain sick patients are at high risk and what treatment can be given to such category of patients it help enable doctor to act based on better information.
Marketing
XAI can help marketers decrease potential cost and increase ROI by detecting weak spot in their AI model and increasing their chance of getting more accurate results and insights they can trust by providing better expected market outcome.
Financial service
In finance XAI can provide unbiased fair service and provide explanable financial outcome to both customers and service providers it also balance legal and ethical issues governing finance by providing finance analyst with regulatory requirements that financial institutions should comply with.
Conclusion
XAI are game changers, although their use isn't widely adopted as setting up these technology can be cost effective for underdeveloped countries there are limited exposure on technical know how on how to implement and use the AI in low budget institutions, there are predictions years from now these technology will be widely adopted for use in various institutions and it will increase users level of understanding on how machine learning and AI come to make their decision and modeling understanding these principles will boost transparency and increase level of trust between users and AI.
Reading References
What is explanable AI? 6 benefits