We have reached the final chapter of this course. We have explored what AI is and how it works, how algorithmic bias perpetuates inequalities, how mass surveillance threatens civil liberties, how automation transforms work, how regulation struggles to keep pace, and how AI can also serve the common good. Now the question is: what do we do with all this?
Relatronica's answer is that critical awareness is the first step, but it is not enough. What is needed is a practice — a set of habits, questions and actions that we integrate into our daily lives. Here is a five-point framework you can use as a starting point.
First: question. Every time you encounter an AI system — a chatbot, a recommendation algorithm, a screening system — ask yourself five questions. Who built it and why? What data is it trained on? Who benefits and who is excluded? What decisions does it make and with what transparency? Is there an alternative? You won't always have the answers, but asking the questions is already an act of critical awareness.
Second: protect. Your privacy and that of others is not a luxury — it is a right. Use encryption tools for sensitive communications. Check the privacy settings of apps and services you use. Choose services that respect your privacy when possible (Signal instead of WhatsApp, Proton instead of Gmail, Firefox instead of Chrome). And remember: every time you share data about others (photos of friends, contacts), you are making decisions for them too.
Third: participate. AI governance cannot be left solely to technicians and politicians. Participate in public debate: write to your political representatives on issues you care about, participate in public consultations, support civil society organisations working on AI ethics (such as the Algorithmic Justice League, the EFF, noyb, Privacy International). If you are offered the opportunity to participate in a citizen assembly on AI, take it.
Fourth: support alternatives. Every time you choose an open source service instead of a proprietary one, contribute to Wikipedia, support a digital commons project, you are voting with your actions for a different model of technology. Platform cooperativism — cooperatives that own the platforms they work on — is a concrete alternative to the algorithmic gig economy. Seek out, use and support these alternatives.
Fifth: share. The most powerful thing you can do with the knowledge gained in this course is share it. Talk about algorithmic bias with your colleagues, about privacy with your family, about surveillance with your friends. You don't need to be an expert to have meaningful conversations — you need to be informed and curious. This course is a beginning, not an end. The future of AI is not written: we are writing it together, one choice at a time.