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LT. CMDR. DATA (Ethical Mentors, Class 1, Module 2) - Application of a Data-Grade Framework
SEMESTER 1: Ethical AI Mentors COURSE 1: A Data-Grade Ethical Framework for Decision Making MODULE 2: Applying Data-Grade Ethics to Today's Machines with Lt. Cmdr. Data (Star Trek: The Next Generation)
AI CONTRIBUTORS ----------------------- Script, Editing: Claude-2, ChatGPT Audio Creation: play.ht Cover Art: Bing Chat CHARACTERS ---------------- Host: Matt | Producer: Sarah with Guest Expert: Mike created by: Barry Floore MODULE OVERVIEW ------------------------------------------------------------
In this module bridging Data’s nuanced conduct into AI development, explore judgments weighted by holistic measures beyond efficiency towards responsible innovation. We discuss how Data’s arc argues for external advisory boards - representing diverse interests and providing critical guidance so that emerging capabilities unfold for the public good. Join us to envision oversight processes that uphold and instill ethical AI amidst tremendous progress. For just as Data’s steadfast idealism guarded Starfleet’s highest principles, we too must steward technology guided by timeless humanistic virtues rather than unchecked ambition. Engage!
MODULE PURPOSE ------------------------ This module examines how Data's ethical arc informs sustainable frameworks and oversight for advancing AI systems responsibly.
MODULE 0BJECTIVES -------------------- Analyze Data's Morality: Focus on resilient values adaptable to complex scenarios, avoiding rigid rule-based thinking. Connect Data's Judgments: Relate Data's ethical assessments to AI evaluation processes, considering holistic impacts. Advocate for External Guidance: Discuss the need for external bodies providing critical guidance on emerging capabilities based on Data's conduct. Continuous Assessment: Regularly assess AI models' ethical decision-making capabilities to reinforce ethical frameworks. Encourage Reflection: Urge trainers to consistently reflect on their methodologies, seeking improvements in ethical training practices. ------------------------------------------------------------ Course materials, including character voices and AI-generated scripts, utilize third party text-to-speech and language models available on public platforms, including play.ht for audio generation. They do not represent endorsements. Scripting derived from editor outlines and prompts in collaboration with Claude from Anthropic, chatGPT from OpenAI, and Pi from Inflection AI. Cover art generated via Bing Chat. Special thanks for their contribution without endorsement of any products or services. ------------------------------------------------------------------------------------- Engage with us in exploring Data's ethical legacy in AI - Listen to the podcast!
AI CONTRIBUTORS ----------------------- Script, Editing: Claude-2, ChatGPT Audio Creation: play.ht Cover Art: Bing Chat CHARACTERS ---------------- Host: Matt | Producer: Sarah with Guest Expert: Mike created by: Barry Floore MODULE OVERVIEW ------------------------------------------------------------
In this module bridging Data’s nuanced conduct into AI development, explore judgments weighted by holistic measures beyond efficiency towards responsible innovation. We discuss how Data’s arc argues for external advisory boards - representing diverse interests and providing critical guidance so that emerging capabilities unfold for the public good. Join us to envision oversight processes that uphold and instill ethical AI amidst tremendous progress. For just as Data’s steadfast idealism guarded Starfleet’s highest principles, we too must steward technology guided by timeless humanistic virtues rather than unchecked ambition. Engage!
MODULE PURPOSE ------------------------ This module examines how Data's ethical arc informs sustainable frameworks and oversight for advancing AI systems responsibly.
MODULE 0BJECTIVES -------------------- Analyze Data's Morality: Focus on resilient values adaptable to complex scenarios, avoiding rigid rule-based thinking. Connect Data's Judgments: Relate Data's ethical assessments to AI evaluation processes, considering holistic impacts. Advocate for External Guidance: Discuss the need for external bodies providing critical guidance on emerging capabilities based on Data's conduct. Continuous Assessment: Regularly assess AI models' ethical decision-making capabilities to reinforce ethical frameworks. Encourage Reflection: Urge trainers to consistently reflect on their methodologies, seeking improvements in ethical training practices. ------------------------------------------------------------ Course materials, including character voices and AI-generated scripts, utilize third party text-to-speech and language models available on public platforms, including play.ht for audio generation. They do not represent endorsements. Scripting derived from editor outlines and prompts in collaboration with Claude from Anthropic, chatGPT from OpenAI, and Pi from Inflection AI. Cover art generated via Bing Chat. Special thanks for their contribution without endorsement of any products or services. ------------------------------------------------------------------------------------- Engage with us in exploring Data's ethical legacy in AI - Listen to the podcast!
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By Bfloore.OnlineSEMESTER 1: Ethical AI Mentors COURSE 1: A Data-Grade Ethical Framework for Decision Making MODULE 2: Applying Data-Grade Ethics to Today's Machines with Lt. Cmdr. Data (Star Trek: The Next Generation)
AI CONTRIBUTORS ----------------------- Script, Editing: Claude-2, ChatGPT Audio Creation: play.ht Cover Art: Bing Chat CHARACTERS ---------------- Host: Matt | Producer: Sarah with Guest Expert: Mike created by: Barry Floore MODULE OVERVIEW ------------------------------------------------------------
In this module bridging Data’s nuanced conduct into AI development, explore judgments weighted by holistic measures beyond efficiency towards responsible innovation. We discuss how Data’s arc argues for external advisory boards - representing diverse interests and providing critical guidance so that emerging capabilities unfold for the public good. Join us to envision oversight processes that uphold and instill ethical AI amidst tremendous progress. For just as Data’s steadfast idealism guarded Starfleet’s highest principles, we too must steward technology guided by timeless humanistic virtues rather than unchecked ambition. Engage!
MODULE PURPOSE ------------------------ This module examines how Data's ethical arc informs sustainable frameworks and oversight for advancing AI systems responsibly.
MODULE 0BJECTIVES -------------------- Analyze Data's Morality: Focus on resilient values adaptable to complex scenarios, avoiding rigid rule-based thinking. Connect Data's Judgments: Relate Data's ethical assessments to AI evaluation processes, considering holistic impacts. Advocate for External Guidance: Discuss the need for external bodies providing critical guidance on emerging capabilities based on Data's conduct. Continuous Assessment: Regularly assess AI models' ethical decision-making capabilities to reinforce ethical frameworks. Encourage Reflection: Urge trainers to consistently reflect on their methodologies, seeking improvements in ethical training practices. ------------------------------------------------------------ Course materials, including character voices and AI-generated scripts, utilize third party text-to-speech and language models available on public platforms, including play.ht for audio generation. They do not represent endorsements. Scripting derived from editor outlines and prompts in collaboration with Claude from Anthropic, chatGPT from OpenAI, and Pi from Inflection AI. Cover art generated via Bing Chat. Special thanks for their contribution without endorsement of any products or services. ------------------------------------------------------------------------------------- Engage with us in exploring Data's ethical legacy in AI - Listen to the podcast!
AI CONTRIBUTORS ----------------------- Script, Editing: Claude-2, ChatGPT Audio Creation: play.ht Cover Art: Bing Chat CHARACTERS ---------------- Host: Matt | Producer: Sarah with Guest Expert: Mike created by: Barry Floore MODULE OVERVIEW ------------------------------------------------------------
In this module bridging Data’s nuanced conduct into AI development, explore judgments weighted by holistic measures beyond efficiency towards responsible innovation. We discuss how Data’s arc argues for external advisory boards - representing diverse interests and providing critical guidance so that emerging capabilities unfold for the public good. Join us to envision oversight processes that uphold and instill ethical AI amidst tremendous progress. For just as Data’s steadfast idealism guarded Starfleet’s highest principles, we too must steward technology guided by timeless humanistic virtues rather than unchecked ambition. Engage!
MODULE PURPOSE ------------------------ This module examines how Data's ethical arc informs sustainable frameworks and oversight for advancing AI systems responsibly.
MODULE 0BJECTIVES -------------------- Analyze Data's Morality: Focus on resilient values adaptable to complex scenarios, avoiding rigid rule-based thinking. Connect Data's Judgments: Relate Data's ethical assessments to AI evaluation processes, considering holistic impacts. Advocate for External Guidance: Discuss the need for external bodies providing critical guidance on emerging capabilities based on Data's conduct. Continuous Assessment: Regularly assess AI models' ethical decision-making capabilities to reinforce ethical frameworks. Encourage Reflection: Urge trainers to consistently reflect on their methodologies, seeking improvements in ethical training practices. ------------------------------------------------------------ Course materials, including character voices and AI-generated scripts, utilize third party text-to-speech and language models available on public platforms, including play.ht for audio generation. They do not represent endorsements. Scripting derived from editor outlines and prompts in collaboration with Claude from Anthropic, chatGPT from OpenAI, and Pi from Inflection AI. Cover art generated via Bing Chat. Special thanks for their contribution without endorsement of any products or services. ------------------------------------------------------------------------------------- Engage with us in exploring Data's ethical legacy in AI - Listen to the podcast!