As long as laws struggle to keep up with the rapid pace of innovation, there will be a gap between the protections offered and the risks associated with technology.
How to Integrate Privacy Into AI: The ethical application of AI is not a straightforward matter, much like many other things. While the world grapples with the impact of AI and awaits legislation for protection, innovators have a responsibility — and I would argue, an opportunity — to start implementing privacy best practices or standards. This step alone could help us envision an AI-centric world that benefits us while limiting its negative impact.
Here's where we can start:
Model per user: Move from a big aggregate model to an isolated model trained on individual user data sets. By having individual data influence models, we make them more private.
Closed systems: Take it further by shifting AI models to closed systems, like laptops, where data is trained on a device close to each person rather than being held somewhere else.
Transparency and tracking across models: Add transparency to data sets used to train models. By watermarking data, videos, and images, we can understand their originating sources and build AI models that access or ignore certain data.
Data removal rights: Use tracking to integrate data removal rights. If individuals opt out of having personal information shared, the AI model can adjust accordingly.
What We Can Do Today: However, until these practices are in place, we need to find ways to work with the current system. Here's what we can do now to enjoy the benefits of AI while protecting our data:
Be aware: Understand how AI platforms collect, store, and use the data you share. Read privacy policies, pay attention to notifications, do a quick Google search, and do your due diligence.
Limit sharing: Avoid providing unnecessary information to an AI platform. Refrain from asking or answering questions that involve personal data.
Understand limitations: While AI has learned to interact with us, assigning human characteristics to machine learning has its limits. It's essential not to get stuck in this uncanny valley.
Employ situational awareness: Be mindful that you may interact with AI without even knowing it. This can happen when chatbots mimic customer service reps or scammers use bots for phishing schemes. Some organizations introduce them as onboarding guides.
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