Content tagged with AI Security

posted in January 2022

13 items

CEO group calls for responsible AI policies

News
1/28/2022

Lobby group demands policies covering explainability, interpretability and mitigating biases

Experts in AI: Part 2 - Combatting criminals with Nuance: Voice for authentication

Video
1/27/2022

In the second of a two-part interview with AI Business, Simon Marchand, chief fraud prevention officer at Nuance, highlights the increasing interest in behavioral biometrics and the value of ROI in fraud prevention

Podcast: Art Miller, Qualcomm, on the connected retail experience

News
1/25/2022

Art Miller, global head of retail IoT at Qualcomm Technologies talks supply chain, AI and more!

AI deals and partnerships roundup: Volvo, Nokia, Ford, Exscientia

News
1/24/2022

Another mega deal for Exscientia and AV updates from Ford and Mobileye

Prepare for a more intelligent and connected world with adaptive computing

Partner Perspectives
1/18/2022

Adaptive computing is unique because it comprises silicon hardware that can be optimized for specific applications after manufacture

AI product roundup: Sony, LG, Nuro, Mobileye

News
1/18/2022

Deloitte, Nuro and Cogniteam make the latest roundup list, along with an overview of some of the most significant AI products from CES 2022

Experts in AI: Private data sharing with TripleBlind

Video
1/17/2022

In this interview from the AI Summit New York, TripleBlind CEO and co-founder Riddhiman Das talks about data privacy, encrypted data sharing and the latest updates to its solution

UK launches standards hub to improve AI governance

News
1/14/2022

UK businesses to spend $275 billion on AI by 2040, new research estimates

AI and Ethics: Risks and dilemmas

Analysis
1/13/2022

AI ethics is essential from a moral perspective, for the corporate culture, for the organization’s reputation, and from a legal perspective

IBM: The need for Trusted AI

Sponsored Video
1/13/2022

In this session from the AI Summit New York, IBM's Manish Goyal shares best practices for enterprises to establish the right governance, methods and practices to build AI systems that are truly fair, explainable, accountable, and robust.