Data science fails: Building AI you can trust

Eight key factors for successful AI implementation

How to build trustworthy AI - whitepaper from DataRobot
whitepaper
DataRobot logo

The game-changing potential of artificial intelligence (AI) and machine learning is well-documented. AI has the power to transform countless industries — including the healthcare, banking, insurance, and public service sectors, to name just a few — by introducing new efficiencies and revealing new opportunities for companies to solve problems.

Any organisation that is considering adopting AI must first be willing to trust in AI technology. Organisations must feel confident that human error did not inadvertently contribute to AI bias that resulted in inaccurate or misleading findings.

This new DataRobot whitepaper, "Data Science Fails: Building AI You Can Trust", outlines eight important lessons that organisations must understand to follow best data science practices and ensure that AI is being implemented successfully.

Download the report to gain insights including:

  • How to watch for bias in AI
  • Why your organisation’s values should be built into your AI
  • How human errors like typos can influence AI findings
  • The optimal level of disclosure to AI stakeholders

Recommended

IBM unveils the world’s first quad-core AI accelerator chip
Hardware

IBM unveils the world’s first quad-core AI accelerator chip

19 Feb 2021
FTC fines ticket scalpers who used bots to buy and resell tickets
bots

FTC fines ticket scalpers who used bots to buy and resell tickets

25 Jan 2021
AI 360: Hold, fold, or double down?
Whitepaper

AI 360: Hold, fold, or double down?

14 Jan 2021
AI 360: Hold, fold, or double down?
Whitepaper

AI 360: Hold, fold, or double down?

14 Jan 2021

Most Popular

Npower shuts down app after hackers steal user data
hacking

Npower shuts down app after hackers steal user data

25 Feb 2021
Hackers publish Bombardier data in wide-reaching FTA cyber attack
cyber attacks

Hackers publish Bombardier data in wide-reaching FTA cyber attack

24 Feb 2021
New monitors for an agile new normal
Sponsored

New monitors for an agile new normal

19 Feb 2021
VMware patches critical ESXi and vSphere Client vulnerabilities
vulnerability

VMware patches critical ESXi and vSphere Client vulnerabilities

24 Feb 2021