AI is Powerful But You Deserve Transparency and Control AI is Powerful But You Deserve Transparency and Control Artificial Intelligence is now part of almost everything we do online. It recommends what we watch, reads our emails to suggest replies, helps us shop and even writes code. It feels impressive and almost magical at times. But with that power comes a question we don’t ask enough. Have you ever wondered what AI really knows about us and whether we still get to tell our own story? Have you ever wondered what AI really knows about us and whether we still get to tell our own story? The Invisible Mirror The Invisible Mirror Every search, tap or purchase leaves a data trace. These traces form the basis of how AI systems learn. Over time they build something like a mirror of us. But that mirror is not perfect. It is shaped by assumptions and optimised for engagement or profit. AI doesn’t just reflect our behaviour. It interprets it. It guesses our interests, intentions and emotions. Sometimes it gets it right and sometimes it doesn’t. The real problem is that we rarely know how those guesses are made. Fei-Fei Li once said “There are no independent machine values. Machine values are human values.” “ That idea captures the challenge perfectly. The question is not whether AI is capable but whether it understands and respects human values in its design and use. When AI decides what we see in our feeds or how a product responds, it follows patterns buried deep in the system. We don’t get to see that logic and we can’t easily challenge it. Why Transparency Matters Why Transparency Matters Transparency isn’t just a feature of technology, it’s a sense and belief that assures people that they are incharge. People can decide if they AI if they understand how it works and what data it learns from. They can question it. They can choose what to share. Timnit Gebru, a respected researcher in AI ethics, said “AI impacts people all over the world and they don’t get to have a say on how it should shape it.” “ ” True transparency means: True transparency means: Knowing how and what your data is being used forUnderstanding why a certain model makes a particular recommendation or predictionAccountability when AI makes a biased or harmful decisionAbility to control, correct or remove what misrepresents you Knowing how and what your data is being used for Knowing how and what your data is being used for Understanding why a certain model makes a particular recommendation or prediction Understanding why a certain model makes a particular recommendation or prediction Accountability when AI makes a biased or harmful decision Accountability when AI makes a biased or harmful decision Ability to control, correct or remove what misrepresents you Ability to control, correct or remove what misrepresents you Without this, users enjoy the benefits of AI but lose ownership of their digital identity. It is quite interesting to read the EU AI Act which focuses on keeping AI fair and easy to explain. The OECD AI Principles also provide a global perspective on accountability and trust. The NIST AI Risk Management Framework offers practical guidance for organisations building AI responsibly. EU AI Act OECD AI Principles NIST AI Risk Management Framework Stanford’s Human-Centred AI Institute and the Alan Turing Institute often share meaningful work on ethics, governance and how AI affects society over time. Stanford’s Human-Centred AI Institute Alan Turing Institute Taking Back Control Taking Back Control Imagine opening a dashboard that shows how AI systems see you. It lists your interests, the traits they have assigned to you and the data that built that profile. Now imagine being able to change or delete that data or even get rewarded if it helps improve a model. This idea is no longer a fantasy. Policies like the EU AI Act and frameworks from NIST and the Partnership on AI already explore ways to give people more visibility and control. This approach puts humans back in control and instead of being a passive data source, people become active participants. They control how and why AI learns. Shared Responsibility Shared Responsibility At the crux of making AI transparent and ethical, we all have an important role to play. It is the responsibility of Policymakers to create rules and regulations that encourage honesty from businesses. At its core these regulations should protect people. Businesses need to be more open and transparent about how data and AI influence their products and decisions - not just focus on the bottom line. Developers should be mindful and develop systems which are ethical that consume data that is necessary. And finally, users need to stay curious and ask how these systems affect the way they live, work and interact with the world around them. Once all of this happens, AI would stop being just a tool for prediction but would become an integral part of our lives that enriches it many ways. The Way Forward The Way Forward AI’s real strength lies not just in processing data but in influencing what we do and how we think - it should not feel like an interaction in a silo but an integral part of our world that we can control. If we want a digital world that is fair and trustworthy, we should have transparency and have mechanisms in place to take control. The systems of the future should be clear and open and should reflect our best intentions rather than our blind spots. AI will continue to grow smarter but what will truly define its future is whether it also grows wiser. The challenge is making it more accountable and more human at the same time.

The Case for Transparency: Reclaiming Human Control in the Age of AI

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