1 / 4

PPT_The Challenges of Testing Artificial Intelligence (AI)

One of the challenges around the testing of AI is the ability to reproduce and explain a set of results. Ultimately, the real challenge is convincing everyone that AI systems can be trusted with important decisions.

starktony0547
Download Presentation

PPT_The Challenges of Testing Artificial Intelligence (AI)

An Image/Link below is provided (as is) to download presentation Download Policy: Content on the Website is provided to you AS IS for your information and personal use and may not be sold / licensed / shared on other websites without getting consent from its author. Content is provided to you AS IS for your information and personal use only. Download presentation by click this link. While downloading, if for some reason you are not able to download a presentation, the publisher may have deleted the file from their server. During download, if you can't get a presentation, the file might be deleted by the publisher.

E N D

Presentation Transcript

  1. The Challenges of Testing Artificial Intelligence (AI)

  2. The Challenges of Testing Artificial Intelligence (AI) • Our day-to-day lives are becoming increasingly reliant on the direction, decision-making, and support of AI systems. • Never in the history of technology has the threat or the need to protect the integrity of such decision-making been more urgent or real. • I recently served as an official reviewer for a new BCS pre-publication book titled “Artificial Intelligence and Software Testing – Building systems you can trust”. • A brilliant reference covering all aspects of the challenges of both Artificial Intelligence (AI) and Machine Learning (ML), and how traditional approaches to Software Testing have been disrupted and challenged. • Societal trust in AI decision-making is at the very heart of what AI is all about. The greater the level of societal trust in AI, the greater the level of societal adoption of AI. • AI is making our lives easier in many ways never imagined, in the form of driverless cars or helping law courts derive smarter offender sentencing decisions. • We need to, however, believe that AI decision-making is arriving at the correct answer or response that is also both ethical and non-biased.

  3. The Challenges of Testing Artificial Intelligence (AI) • Trust in AI responses • The testing of AI systems is at the very heart of building confidence and trust in AI answers and responses. • Not only are the problems harder, but AI systems are different. AI systems change in response to stimuli, unlike other software that only changes when updated deliberately. • Bias • Life as we encounter it is full of biases, some explicit and some implicit, some human-constructed and some not. • Ethical Behaviour • How do we test for ethical and unethical behaviour? In a situation where grey areas or known ethical challenges exist, how to handle it? • Interesting right? • Want to know more on this topic: https://bit.ly/3tZg35Y

More Related