🤖 @PerceptronNTWK : TRUST IN THE AI ERA: WHEN DATA IS FUEL BUT LACKS CONSENT !! Artificial intelligence (AI) is developing at an unprecedented pace, becoming an indispensable part of life. However, behind that intelligence lies a complex ethical dilemma: How is data accessed, used, and stored? 1⃣ The Consent Crisis 🔸 AI systems require vast amounts of data to "learn." Most of this fuel comes from human activities: conversations, texts, and digital behaviors. 🔸 Unclear origins: Data is often collected from public platforms that users have never signed consent for AI training. 🔸 Thin boundaries: The confusion between "public data" and "data with usage rights" is creating bad precedents. 🔸 Unanswered questions: Who truly owns the data generated in cyberspace? 2⃣ Privacy Risks and Personal Data 🔸 Not only limited to intellectual property issues, AI also faces challenges regarding the security of sensitive information. 🔸 Consequential issues, lack of anonymity, personal information leaking into AI models. Cultural context: Models can be distorted or misuse specific data. Loss of control: Users create data but have no voice in its governance. 3⃣ Systemic Issues 🔸 This is not the fault of any individual or organization, but a consequence of how the internet has operated until now. 🔸 Traditional models: Focused on scaling and monetization rather than gathering consent. 🔸 Ethical limits: The explosion of AI is pushing old data models beyond legal and social tolerances. 🔸 Responsibility of parties: Regulators and developers must find solutions to the problem: Innovate but with responsibility. 4⃣ The Road Ahead: Towards Transparency 🔸 The sustainable future of AI entirely depends on better data practices. 🔸 Networks like Perceptron are striving to redefine the game by providing infrastructure where: 🔸 Consent is a prerequisite. 🔸 Transparency in data origins is ensured. 🔸 Collaboration between data creators and AI developers becomes a core standard. #PERCEPTRON #PERC