Collaborating Authors

Keeping Data Safe And Building Trust When Implementing AI In Your Enterprise


Before investing heavily in new systems, a few questions need to be answered: How accountable, compliant and traceable is the data that your organization's AI collects and analyzes? Data misuse, non-compliance with new privacy regulations in Europe and California and over-reliance on third parties are all issues that must be addressed. Many companies have already learned the hard way what can happen when they are not. I am the CEO and co-founder of an enterprise software company called that delivers an AI-chatbot through natural language processing and the co-founder of Squid Solutions, which provides usage analytics to publishers around the world. Below, I would like to share my top considerations for keeping data safe and building trust as you implement AI into your organization.

GDPR is already a success, whether you like it or not


Even before it comes into effect, Europe's new GDPR data protection legislation is already having a positive impact. General Data Protection Regulation, or GDPR, is coming. Here's what it means, how it'll impact individuals and businesses. GDPR is a broad set of rules that require companies to treat customers' personal information with care, and allow organisations to be held to account if they fail to do so. Among other things, GDPR insists that personal data has to be collected for specific and legitimate purposes: it must be accurate and must be protected against unauthorised access, accidental loss, destruction or damage.

How Ecommerce Companies Can Be Less Intrusive When Using Customer Data - Dataconomy


The ecommerce industry has greatly benefited from the explosion of customer-centric data analytics. Industry leaders have been able to leverage it to great effect, fueling their various marketing, advertising and website content personalization efforts, yielding game-changing sales conversion lift. Contemporary online shopping companies have even been rampantly gathering, tracking, and even buying data regarding individuals' shopping intent, cross-platform browsing behavior and owned media interactions to compile dynamic, frighteningly detailed customer profiles. These profiles are then used to create targeted marketing campaigns that can effectively hook and reel in customers. One only need to look at how Facebook Ads and Amazon product recommendations seem to accurately coincide with a person's needs and wants to see how effective and even eerie these methods can be.

AI Predicted to Take Over Privacy Tech


More than 40% of privacy tech solutions aimed at ensuring legal compliance are predicted to rely on Artificial Intelligence (AI) over the course of the next three years, analysts from the business research and advisory firm Gartner Inc have found. The company--which is set to present these findings among others at the Gartner IT Symposium/Xpo 2020 in Toronto, Canada in May--has found that reliance on privacy tech to ensure compliance with various privacy laws is expected to increase by at least 700% between 2020 and 2023. This marks an increase from the 5% of privacy tech solutions that are AI driven today to the more than 40% that are predicted to become available within the next 36 months. This development comes as companies are increasingly exposed to the combined pressures of privacy legislations and data breach risks. An October 2019 study by Bitdefender, for example, found that nearly 60% of companies had experienced a data breach since the beginning of 2017, and that nearly a quarter of the companies surveyed had suffered such a breach within the first six months of 2019 alone.

Privacy and International Compliance: When Differences Become an Issue

AAAI Conferences

This paper introduces key issues to the balance between data collection policies and privacy protection initiatives in an internationally unstructured legal framework. The right to privacy has been addressed and construed differently among jurisdictions, which leads to uncertainties regarding the cross-boarding data collection operations that often occur in the cyberspace. This paper focuses on the jurisprudence of the Brazilian Supreme Court, demonstrating (i) that the traditional approach given to privacy in Brazil is not accurate enough to deal with the new threats which arise in the cyberspace; (ii) that the concept of privacy should be redefined when applied to the cyberspace and; (iii) that differences among national privacy legislations challenge international compliance with regard to the right to privacy.