Topics:
Articles & Publications.
BY: Ankit Bhargava
Published on: Aug 22, 2024 (LinkedIn)
Every time we visit a website, that little cookie banner pops up, urging us to click ‘Accept All’ or ‘Customize your settings’, and most of us reflexively choose ‘Accept All’ without a second thought....
Published on: Aug 06, 2024 (LinkedIn)
The "Delphi Technique" is a structured communication method that relies on a panel of experts who participate in multiple rounds of questioning to reach a consensus on complex issues, such as identifying....
Published on: Aug 05, 2024 (LinkedIn)
With stringent regulations and increasing customer concerns about privacy, conducting a Data Protection Impact Assessment (DPIA) in the banking sector is essential nowadays. Let’s walk through the essential steps for conducting a DPIA, complete with data privacy best practices to ensure your bank remains compliant and trustworthy....
Published on: Aug 04, 2024 (LinkedIn)
Jurisdictional Needs: Take into account not only the legal requirements for each jurisdiction involved when performing a recommended or statutory Privacy Impact Assessment (or comparable concept), but also sectoral guidance released by global and regional authorities....
Published on: Aug 03, 2024 (LinkedIn)
As a privacy professional, designing a DPIA for data owners is crucial to my role. Here, I've tried to decode a few best practices to help you demonstrate key privacy principles while conducting your DPIA.....
Published on: July 31, 2024 (LinkedIn)
Let’s explore some best practices for data inventory and mapping that can set your organization on the path to data excellence;
1. You can begin by identifying the full scope of your data. This includes understanding:....
Published on: May 27, 2024 (LinkedIn)
Whether you're an emerging AI innovator or a data owner, here's how you confidently respond to the question, "Are individuals safe in your design, process, product, and technology?"....
Published on: July 15, 2024 (LinkedIn)
Understanding your data is the first and most crucial step in implementing robust data privacy practices. It involves gaining a comprehensive overview of all the personal data your organization collects, processes, and stores. This foundational step.....
Published on: July 14, 2024 (LinkedIn)
For organizations striving to protect sensitive information, the RASCI model offers a structured approach to define roles and responsibilities, ensuring that every aspect of data privacy is meticulously managed.
Published on: May 30, 2024 (LinkedIn)
Imagine this: You send your sensitive data to a cloud service provider for analysis. But here's the twist – your data stays encrypted the entire time. Even while calculations are being performed on it!
Published on: May 27, 2024 (LinkedIn)
While the answer remains uncertain, the potential of Emotion AI is undeniable. Imagine:
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A virtual therapist offering empathetic support to a patient....
Published on: May 21, 2024 (LinkedIn)
Okay, so let's talk about the risks of AI. And, honestly, they're kind of terrifying when you really think about it. I mean, we're talking about everything from algorithms that are inherently biased and we know how that can go wrong, to autonomous weapons.....
Published on: May 20, 2024 (LinkedIn)
Consider this: AI models learn from massive datasets that often mirror our society's flaws, including historical biases. If left unchecked, these biases can be amplified by AI, and we've seen real-world examples where biased AI algorithms have ....
Published on: May 19, 2024 (LinkedIn)
I know I know...it can feel like one more thing on an already overflowing plate. But here's the deal: It's NOT just about avoiding fines (although those are a thing). It's about building trust with your customers and protecting your hard-earned reputation......
Published on: May 14, 2024 (LinkedIn)
In today's data-driven gold rush, businesses are racing to extract profits from information. But can we do so ethically, ensuring innovation doesn't sacrifice ethics and societal well-being?.....
Published on: May 10, 2024 (LinkedIn)
Okay, let's be honest – the world of ethical AI can get confusing with all the technical terms thrown around. Think of it this way: imagine you build an AI model to help with hiring decisions. You want it to be amazing at predicting who'll succeed in a role. But, what if that model starts making more mistakes when it comes to older candidates or candidates from a certain racial background?.....
Disclaimer: The below articles are for informational and knowledge-sharing purposes only and do not constitute legal advice. Thank You!
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