
Explainable AI, in simple terms, is the application of artificial intelligence and its subsets in processes in which the outputs or insights given should be understandable and trusted by human users.
AI is known to be operated in a black box approach where it’s thought processes are hidden and sometimes ominous, leaving the users clueless on how it came up with a particular result. Explainable AI avoids this, as users can know how and why the AI application gave a specific output and also the path it took to end with the result.
This is important so that the user will know the process behind the AI’s decisions and using this, a user will know the variables that are considered before coming up with a result. This can be done through various techniques that show the elements of a decision.
Let’s say in an AI application, a business is using algorithms or machine learning to know the best date to launch a product. The company will input necessary data to a learning model and with this, the AI model will start its analysis. After this, the company is given a particular date that is the best to launch a product.
Now, without explainable AI, the company can be left clueless about how this result is achieved. Instead, explainable AI will give the variables for this decision, such as customers’ active times, reach on social media and so on.
This way, businesses can now trust their AI applications as the results and the thought processes are transparent, making them trust the technology more.


Archive
- April 2021(38)
- March 2021(79)
- February 2021(58)
- January 2021(55)
- December 2020(56)
- November 2020(59)
- October 2020(78)
- September 2020(72)
- August 2020(64)
- July 2020(71)
- June 2020(74)
- May 2020(50)
- April 2020(71)
- March 2020(71)
- February 2020(58)
- January 2020(62)
- December 2019(57)
- November 2019(64)
- October 2019(25)
- September 2019(24)
- August 2019(14)
- July 2019(23)
- June 2019(54)
- May 2019(82)
- April 2019(76)
- March 2019(71)
- February 2019(67)
- January 2019(75)
- December 2018(44)
- November 2018(47)
- October 2018(74)
- September 2018(54)
- August 2018(61)
- July 2018(72)
- June 2018(62)
- May 2018(62)
- April 2018(73)
- March 2018(76)
- February 2018(8)
- January 2018(7)
- December 2017(6)
- November 2017(8)
- October 2017(3)
- September 2017(4)
- August 2017(4)
- July 2017(2)
- June 2017(5)
- May 2017(6)
- April 2017(11)
- March 2017(8)
- February 2017(16)
- January 2017(10)
- December 2016(12)
- November 2016(20)
- October 2016(7)
- September 2016(102)
- August 2016(168)
- July 2016(141)
- June 2016(149)
- May 2016(117)
- April 2016(59)
- March 2016(85)
- February 2016(153)
- December 2015(150)