Torrent details for "Keeping Your AI Under Control: A Pragmatic Guide to Identifying, Evaluating, and Quantifying Risks [..." Log in to bookmark
Controls:
Category:
Language:
EnglishTotal Size:
1.37 MB
Info Hash:
0ec297c763002d7e3e60bc7b8a658135ec019e2d
Added By:
Added:
08-12-2019 14:24
Views:
564
Health:
Seeds:
0
Leechers:
0
Completed:
149
For More Ebooks Visit NulledPremium >>> NulledPremium.com
Book details
File Size: 1.37 MB
Format: epub
Print Length: 129 pages
Publisher: Apress; 1st ed. edition (November 9, 2019)
Publication Date: November 9, 2019
Sold by: Amazon Digital Services LLC
Language: English
ASIN: B0819GDXXB
Artificial Intelligence (AI), we often see it as a panacea that can somehow resolve everything. As it stands today, the outlook is still highly debatable. AI has now become a real-world application technology, and it is becoming part of modern life fabric.
If AI is to drive the business success and social acceptance, it cannot hide in a black box. To have confidence in the outcomes, win user’s trust, and ultimately capitalize on the opportunities, it may be necessary to open up the black box or adopt a preemptive approach.
In Keeping Your AI on the Leash, author Anand Tamboli explains multiple risk factors and a proven method to evaluate them quantitatively. He also introduces a new concept of AI insurance to cover residual risks. How do you keep your AI in control and make sure that it does what it is supposed to do? This book covers that and more.
You will learn:
Various types of risks involved in developing and using AI solutions
How to identify, evaluate, and quantify risks pragmatically
How AI insurance can be utilized to support residual risk management
This book is for:
Progressive businesses that are on a journey to use AI (buyers/customers)
Technical and financial leaders in AI solution companies (solution vendors)
AI system integrators (intermediaries)
Project and technology leads of AI deployment projects
Technology purchase decision-makers, CXOs and legal officers (solution users).
Table of contents (11 chapters)
Artificial Intelligence Beyond 2020
Learning Lessons from Past Fiascoes
Understanding AI Risks and Its Impacts
Evaluating Risks of the AI Solution
De-risking AI Solution Deployment
Good AI in the Hands of Bad Users
A Systematic Approach to Risk Mitigation
Teach Meticulously and Test Rigorously
AI Supervision with a Red Team
Handling Residual Risks
When Working with Emerging Technologies
Book details
File Size: 1.37 MB
Format: epub
Print Length: 129 pages
Publisher: Apress; 1st ed. edition (November 9, 2019)
Publication Date: November 9, 2019
Sold by: Amazon Digital Services LLC
Language: English
ASIN: B0819GDXXB
Artificial Intelligence (AI), we often see it as a panacea that can somehow resolve everything. As it stands today, the outlook is still highly debatable. AI has now become a real-world application technology, and it is becoming part of modern life fabric.
If AI is to drive the business success and social acceptance, it cannot hide in a black box. To have confidence in the outcomes, win user’s trust, and ultimately capitalize on the opportunities, it may be necessary to open up the black box or adopt a preemptive approach.
In Keeping Your AI on the Leash, author Anand Tamboli explains multiple risk factors and a proven method to evaluate them quantitatively. He also introduces a new concept of AI insurance to cover residual risks. How do you keep your AI in control and make sure that it does what it is supposed to do? This book covers that and more.
You will learn:
Various types of risks involved in developing and using AI solutions
How to identify, evaluate, and quantify risks pragmatically
How AI insurance can be utilized to support residual risk management
This book is for:
Progressive businesses that are on a journey to use AI (buyers/customers)
Technical and financial leaders in AI solution companies (solution vendors)
AI system integrators (intermediaries)
Project and technology leads of AI deployment projects
Technology purchase decision-makers, CXOs and legal officers (solution users).
Table of contents (11 chapters)
Artificial Intelligence Beyond 2020
Learning Lessons from Past Fiascoes
Understanding AI Risks and Its Impacts
Evaluating Risks of the AI Solution
De-risking AI Solution Deployment
Good AI in the Hands of Bad Users
A Systematic Approach to Risk Mitigation
Teach Meticulously and Test Rigorously
AI Supervision with a Red Team
Handling Residual Risks
When Working with Emerging Technologies