Data Ethics vs. Data Privacy: What’s the Difference?

August 12, 2021

Article actual date: Aug 12, 2021


In last month’s opinion piece, we touched on the concept of data ethics and its increasingly important role in the world of business events. The article ended on a seemingly ambiguous note, where the next best defense against data infringement was to ‘educate yourself’. You reading this article may agree and ask: So what exactly do I have to do to protect my data?

The answer lies within data privacy. While it sounds all too familiar alongside the other data ethics, security, protection, regulation and so on, data privacy stands out amongst the others as it has the ability to completely shut off any potential threats. The trade off, however, involves placing all responsibility on you; every single decision you make in the virtual space will significantly hold more weight in determining the safety of you and your data.


You are what you share

To further illustrate the idea, we’ll use Panoptykon Foundation’s 3 layers of digital identity. Extrapolating it into our business event context:


1.
The first layer is derived from what your attendees divulge about themselves. From their names to their specific area of expertise, the information that they provide builds up their online personas that is visible to you and other attendees alike.

2. The second layer is derived from what your attendees do. These actions share information that can be;

  • Explicit (searching up a particular attendees or exhibitors) or;
  • Implicit (device location, cursor movement).

These sources of information further augment their profile, adding more character and preferences to their online personas. Not all changes are visible to other attendees though, as several of them are mainly aggregated in the back-end for analytical purposes in the next layer.

3. The third and final layer assumes what your attendees want to do. The data from the first two layers are put through AI algorithms that connect what they are to what they seek. This forms the core idea of various data-driven solutions, such as business matching, targeted recommendations and user interface optimisations.

So, how does all of this relate to data privacy, and where does it come into play?

The first two mentioned layers are entirely constructed by the users themselves. They are also the exact elements that empower individuals to absolutise their data privacy rights; by scrutinising the information and actions that your attendees want to show, providers will be able to access only the selected data and shape the truest virtual forms of your attendees.


However, some provided actions are implicit and beyond the control of the user. Total meeting duration, for instance, is obtained as a byproduct of the attendee’s interaction with the event platform. In these cases, data ethics re-enter the stage once more as platform providers would have to thoroughly consider various aspects before collecting the data, which include:

  • Purpose: What will you use the data for? Who will be using it?
  • Confidentiality: Is the acquired data sensitive? Did you acquire consent to access the data?
  • Security: Do you have the appropriate encryption methods for your data?

Reviewing these points, we can conclude that more data does not mean better. Attendees must consider every bit of information that they share as every data point would hold a level of consequence. Similarly, tech providers should thoroughly review the types of data that they’re requesting; is it truly relevant to the context at hand?

The starking difference between data privacy and data ethics thus lies in their main influencers:

  • End-users like attendees and exhibitors can enforce their data privacy rights by providing only the necessary information for the event at hand.
  • Tech providers like us have an equal part in upholding data ethics by accessing and using data that is only appropriate for the current event.

All in all, the notions of data privacy and data ethics symbolise the working relationship between tech providers and your attendees: we do our due diligence in asking only for the necessary information, while attendees would continue to upgrade and be ready to protect themselves from data crime in a hybrid future.


The Bottom Line

It is important to gather only the appropriate type and quantity of data, and it is what we exactly do here at Jublia. We deploy strict data handling procedures and only garner relevant information that contributes to the event that you are attending. All implicit and explicit user data are solely used for event purposes only and will be disposed of once it ends.

Have any burning thoughts on the data ethics-privacy relationship? Need to consult someone on how you can safely operate in a hybrid environment? Reach out to any Jubilan you know, message us on LinkedIn or contact us at info@jublia.com!

P.S. Che

Frequently Asked Questions
What do attendees expect from event personalization?
Attendees no longer accept a generic agenda. They expect their event journey to know what they signed up for, what they’ve engaged with, and what’s likely to be relevant next. Personalization at events now means dynamic agendas, networking suggestions tied to their goals, and reminders that respect their time instead of spamming it. The bar is set by every other app they use.
Why is predictive matchmaking changing B2B event networking?
The old matchmaking model can overwhelm attendees as the load is on them: They must scroll a delegate list, guess who’s worth meeting, and send cold requests. Predictive matchmaking inverts this. The platform tracks what attendees do and adjusts recommendations accordingly to offload the tasks from attendees.
How should organizers measure ROI on event engagement?
Event engagement ROI breaks down into two things: whether the planned interactions actually happened, and whether they were valuable. The first is measurable through meeting.
Written By :
Goh Bao Wei
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