HPR4305: My weight and my biases

Hacker Public Radio

Introduction Greeting and Context Welcome Episode Overview Why This Topic? Ubiquity of AI Ethics Matters for Builders and Hackers Community Responsibility Call to Exploration Setting the Stage What We’re Talking About Discussion Centered on Commonly Used AI Applications What We’re Not Covering Historical Perspective Early AI Dreams Modern Realities The Hacker Ethos and Why It Matters Transparency and Openness Ethical Frameworks Empowering the Community Transparency and Openness Open Source vs. Proprietary Access to Source Code: Access to Weights, Biases, and Training Methods Training Data Sources of Data Open Datasets vs. Restricted or Proprietary Data Ethical Questions Trade-Offs in Permission and Diversity Openness vs. Misuse Legal and Regulatory Dimensions Consent & Permissions Data Usage Global Variations Accountability Liability in AI Systems Corporate vs. Individual Responsibility Regulatory Landscape Different Approaches Balancing Innovation and Control Sustainability Concerns Energy Consumption Carbon Footprint of Training and Inference Environmental Impact of Data Centers Future Solutions Efficient Models and Green Data Centers Balancing Innovation with Responsibility Bias, Fairness, and Societal Impact Data Bias Discriminatory Outcomes Detection and Mitigation Fairness in Decision-Making Critical Sectors Systemic Impact Social Engineering & Manipulation Influence on Public Opinion Misinformation Risks The Addictive Potential of AI and “AI Buddies” Embedded (Often Invisibly) in Social Media Subtle Integration Continuous Engagement Loops AI Buddies and Emotional Dependence Always-On Validation Emotional “Self-Indulgence” AI Agents Doing the “Boring Work” From Assistance to Dependency: Lower Friction, Higher Usage Vulnerable Users and Youth Teens in Crisis Shaping Self-Image Design Choices That Amplify Attachment Human-Like Tones and Expressions Reward Systems and “Leveling Up” Mitigating Risks to Mental and Social Well-Being User Education Ethical Product Design Regulatory Oversight Explainability and Trust Transparency of Reasoning Black-Box Challenge Techniques to Enhance Explainability Uncertainty and Confidence Scores Expressing Certainty Importance in Critical Applications Military and Illicit Uses PsyOps and mass manipulation AI in Hacking and Phishing: Automated Social Engineering and Psychological Operations (PsyOps): Undermining Trust: Military Applications Autonomous Weapons and Surveillance Ethical Implications of Lethal Autonomy Looking Forward Innovation vs. Caution Striking a Balance: Practical Considerations Adaptive Regulation Evolving Guidelines Flexible Frameworks Community Involvement Open-Source Contributions Public Debates and Awar