Book description
Many people don’t trust decisions, answers, or recommendations from artificial intelligence. To address that problem, makers of AI applications and systems should stop overpromising, be more transparent about how systems are used, and consider third-party certification.
Product information
- Title: Can We Solve AI’s ‘Trust Problem’?
- Author(s):
- Release date: December 2018
- Publisher(s): MIT Sloan Management Review
- ISBN: 53863MIT60217
You might also like
article
Can Surveillance AI Make the Workplace Safe?
Organizations may soon start monitoring employees’ whereabouts and behavior more closely than ever, using surveillance tools …
book
Solving Quality and Maintenance Problems with AI
Despite all the hype and money surrounding artificial intelligence ($1.2 trillion in 2017 alone), many companies …
book
Artificial Intelligence: Teaching Machines to Think Like People
Now that artificial intelligence researchers have used reinforcement learning and deep learning to achieve several notable …
article
How to Build Good AI Solutions When Data Is Scarce
Developing AI systems based on neural networks can require large volumes of labeled training data, which …
