AI as a solution for the GDPR policy

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AI as a solution for the GDPR policy

Europe has taken a resounding stance for Public Data Privacy by implementing its central GDPR (General Data Protection Plan) charter.

The policy comes with a 365 difference period (since implementation on 25th May 2018) for MNCs and Corporations to adhere to all the requisite data compliancy laws, or bear the brunt of a € 20,000,000 fine towards the European Union (EU).

Ever since the internet came into contact with mass consumption, a cyber-turf war exploded, unbeknown to the common man. ‘Digital Content’ became accessible through multiple formats, at any given time of the day. Every minute across the globe, metric quantities of data is shared, downloaded, streamed and uploaded onto various sites and portals, thereby increasing the global data pool constantly!

Media distribution, along with the availability of Unbiased Content, came to the forefront in 2003, when the ‘Net Neutrality’ discussion erupted. Originally brought out into open forums by Prof Tim Wu from the Columbia University of Media Law, the debate exposed how premier Information Service Providers (ISPs) and Telecomm giants were slowing down content, blocking access, re-packaging consumer data and charging money for different digital services. These accusations were not limited to obscure instances either. And some of the biggest examples can be quoted from the far west.

Comcast, one of the biggest telecomm conglomerates in the world that is situated in Pennsylvania, was found to be violating net neutrality principles and ethics by intentionally slowing down the speed of access to P2P (peer-to-peer) sharing networks. The procedure, referred to as ‘throttling’, was conducted by launching certain Network Access Protocols into the framework. However, Comcast blocked these protocols after strict orders from the Federal Communications Commission (FCC). Another localised ISP named Madison River Communications located in North Carolina, was fined a mere 15,000 USD by the FCC for blocking and slowing down access to telephonic Internet Protocol provider Vonage. Also, Fortune500 ISP and Telecomm entity AT&T was found to be delivering restricted access to the video-chat platform FaceTime, pitting it against its paid services.

So as big corporations and industrial lobbyists battle it out to establish a ‘Data Mafia’, Europe has upped the game and put a dent into these malicious practices, in a bid to establish consumer safety. GDPR! The European Union pushed for the adoption of this charter, after the sheer volume of private-user data collection, by organisations, was deduced.

The GDPR charter policy has put the ordinary citizen’s ideals into perspective, and has churned out a landmark decision. Any type of data aggregation, must be categorized depending on risk factor. All types of sensitive information being procured from private users must be obtained without any reasonable doubt, along with the option for the consumer to withdraw from sharing their personal information. Also, all organisations will be held accountable for the data they collect, ensuring proper checks and measures are put into place to measure compliancy. Statistics released through a case study by Ernst & Young has found that 32% of the organisations do not have the time to ensure their entire organisation is data compliant, whilst 25% of them lack the relevant tools and resources to meet this need. And an astounding 30% haven’t bothered to understand how to become GDPR compliant. IBM has openly declared that their entire global operations cannot become compliant by the stipulated deadline.

Even though basic Machine Learning, which is often referred to as Artificial Intelligence, operates on the principle of accumulating vast amounts of mass consumer data, in order to understand human verbatim, intent, speech parameters and even help vehicles locate objects on the road. And by definition, most of this data comes under the ‘sensitive’ or ‘high risk’ categories. Hence, the functioning protocol behind ML possesses working principles that can become highly problematic for units trying to become GDPR compliant!

But in a complete turnaround for the facts, IBM is employing ML to help themselves become data compliant. One mandate for the GDPR, is that companies must notify the EU in the case of data breaches and its consequent severity. By using specific ML algorithms, they can scour the entire operations and data aggregation platforms to understand the level of data breaches, and decide whether it has to be jotted down for notification purposes.

The usage of AI to maintain GDPR policies is an important facet for businesses operation within the confines of the European Union. Hence it is important to understand the requirements, before delving into the specifics. A panel discussion at the upcoming World AI Show Amsterdam edition, comprising of business representatives and EU executives, will shed significant light on the role of AI, ML and Robotics in this regard. For more information on how to attend this global conference, visit here.

By | 2018-09-20T15:34:46+00:00 September 20th, 2018|Articles|0 Comments

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