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GDPR CUSTOMER CONSENT: TERMS AND CONDITIONS IN CONTENT FORM ARE NO LONGER FIT FOR PURPOSE - NOW IS THE TIME FOR CHATBOT DIALOGUE
Consent is to give permission for something to happen.
Consent is one of the specific EU GDPR (General Data Protection Regulation) challenges impacting the Public Sector, Industries, Professional Services and includes most of the 22m SME (Small Medium Sized Enterprises) throughout Europe. In the digital world, websites, enterprise applications, mobile apps, games, portals, products, services and so much more are impacted by the need for consent.
Consent is covered throughout the lengthy GDPR regulatory document. Here are some of the extracts:
The de facto standard for consent, largely everywhere, is the Terms and Conditions are in content form with the classic tick boxes or signature for acceptance.
Terms and Conditions in content form are simply not fit for purpose for meeting the demands of GDPR.
People often do not read the pages and pages of Terms and Conditions. Even those that attempt to read Terms and Conditions, setting aside those with a legal background or equivalent, does not mean they truly understand the complexity of the details.
GDPR states the consent request must be “clear” and “concise”. To reinforce this message, GDPR states “silence, pre-ticked boxes or inactivity should not therefore constitute consent”.
To repeat, Terms and Conditions in content form are simply not fit for purpose.
The reality is that Terms and Conditions in content form would fail “understandability” and “usability” tests for the different types of customers.
Terms and Conditions content are signed-off by compliance and lawyers, without respect to the profiles and experience of the targeted customers.
GDPR is about protecting the customer’s data and so the way we think about Terms and Conditions needs to change.
RegTech Chatbots have the potential to set a new benchmark for Terms and Conditions.
There are three types of Chatbot conversational methods:
A Chatbot may use a blend of these methods during a conversation with a person.
Dialogue underpinned by machine learning is typically problematic for Terms and Conditions, as it is unacceptable to empower the AI to rewrite regulations and policies. Thus, the suitable solution is in dialogue scripts, which can be controlled through governance.
RegTech Chatbots use scripts underpinned by Choices, Pathways and Outcomes, with the ability to record every dialogue-step. It is this approach that masks the complexity of the Terms and Conditions traditionally found in content form. The real-time capture of the dialogue data is used for compliance, audit, measurements and patterns. This is the new benchmark for consent, which has far wider implications in the areas of say the public sector, financial services, and health.
This content is provided by an external author without editing by Finextra. It expresses the views and opinions of the author.
Kunal Jhunjhunwala Founder at airpay payment services
22 November
David Smith Information Analyst at ManpowerGroup
20 November
Konstantin Rabin Head of Marketing at Kontomatik
19 November
Ruoyu Xie Marketing Manager at Grand Compliance
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