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HAL 9000 (UN-ethical Disasters, Course 5, Module 1) - tedfloore talk, "Hubris, Blame, and a Double Murder in Space"
SEMESTER 2: Cautionary Tales of AI AI Mentors COURSE 1: The HAL-lmark of Artificial Intelligence Tedfloore Talk: Hubris, Blame, and a Double Murder in Space with HAL 9000 (from 2001: A Space Odyssey) AI CONTRIBUTORS ----------------------- Script: Google Bard Editing: Perplexity.AI Audio Creation: play.ht Prompts (1): Freshly.AI, What-a-Prompt! Prompts (2): PromptlyGenerated.com Cover Art: Bing Chat CHARACTERS ---------------- Host: Natalie Creator; B.floore
TEDFLOORE TALK OVERVIEW ------------------------ Remember the chilling "Open the pod bay doors, Dave"? HAL 9000, the rogue AI from 2001: A Space Odyssey, wasn't just sci-fi; it was a chilling premonition of our AI future. Join us on a thrilling TED Talk journey where we dissect HAL's ethical breakdown, uncovering vital lessons in hubris, blame, transparency, and accountability. It's not just about robots gone bad; it's about building a future where AI partners with humanity, not leaving them floating in space. Dive in and discover how we can avoid HAL's tragic fate. Your future depends on it. Click the link and join the conversation! MODULE FOCUS -------------------- This module discusses how the lessons of HAL 9000 from 2001: a Space Odyssey can inform both the development of modern AI models, and the practice of model training, by examining the role hubris the developers and end users played in tragedy. Solutions are discussed as a function of blame and the interconnected finger-pointing that failed Dave in space.
MODULE OBJECTIVES —---------------------- Identify root cause of murder: Define the systems and actions that went into causing a catastrophe with A I. Find solutions for current training: Discuss weaknesses and glean lessons from the lack of accountability and the poorly transparent systems leading into the Discovery One mission. Encourage safety practice: Build hope and optimism for correcting future problems with contemporary solutions in the development of current technology. .------------------------------------------------------------------------ Please note: Course materials, including character voices and AI-generated scripts, utilize third-party text-to-speech and language models available on public platforms like play.ht, murf.ai, ttsreader.com, and RunwayML.com for audio generation. They do not represent endorsements. Scripts are developed from editor outlines and prompts in collaboration with Claude from Anthropic, Bard from Google, Perplexity.ai chatGPT from OpenAI, and Pi from Inflection AI. The cover art is generated via Bing Chat. Special thanks to these contributions. Use of these platforms and attribution does not in any way serve as an endorsement of products or services. ----------------------------------------------------------------------- Listen and discuss how to avoid disaster and double murder!
TEDFLOORE TALK OVERVIEW ------------------------ Remember the chilling "Open the pod bay doors, Dave"? HAL 9000, the rogue AI from 2001: A Space Odyssey, wasn't just sci-fi; it was a chilling premonition of our AI future. Join us on a thrilling TED Talk journey where we dissect HAL's ethical breakdown, uncovering vital lessons in hubris, blame, transparency, and accountability. It's not just about robots gone bad; it's about building a future where AI partners with humanity, not leaving them floating in space. Dive in and discover how we can avoid HAL's tragic fate. Your future depends on it. Click the link and join the conversation! MODULE FOCUS -------------------- This module discusses how the lessons of HAL 9000 from 2001: a Space Odyssey can inform both the development of modern AI models, and the practice of model training, by examining the role hubris the developers and end users played in tragedy. Solutions are discussed as a function of blame and the interconnected finger-pointing that failed Dave in space.
MODULE OBJECTIVES —---------------------- Identify root cause of murder: Define the systems and actions that went into causing a catastrophe with A I. Find solutions for current training: Discuss weaknesses and glean lessons from the lack of accountability and the poorly transparent systems leading into the Discovery One mission. Encourage safety practice: Build hope and optimism for correcting future problems with contemporary solutions in the development of current technology. .------------------------------------------------------------------------ Please note: Course materials, including character voices and AI-generated scripts, utilize third-party text-to-speech and language models available on public platforms like play.ht, murf.ai, ttsreader.com, and RunwayML.com for audio generation. They do not represent endorsements. Scripts are developed from editor outlines and prompts in collaboration with Claude from Anthropic, Bard from Google, Perplexity.ai chatGPT from OpenAI, and Pi from Inflection AI. The cover art is generated via Bing Chat. Special thanks to these contributions. Use of these platforms and attribution does not in any way serve as an endorsement of products or services. ----------------------------------------------------------------------- Listen and discuss how to avoid disaster and double murder!
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By Bfloore.OnlineSEMESTER 2: Cautionary Tales of AI AI Mentors COURSE 1: The HAL-lmark of Artificial Intelligence Tedfloore Talk: Hubris, Blame, and a Double Murder in Space with HAL 9000 (from 2001: A Space Odyssey) AI CONTRIBUTORS ----------------------- Script: Google Bard Editing: Perplexity.AI Audio Creation: play.ht Prompts (1): Freshly.AI, What-a-Prompt! Prompts (2): PromptlyGenerated.com Cover Art: Bing Chat CHARACTERS ---------------- Host: Natalie Creator; B.floore
TEDFLOORE TALK OVERVIEW ------------------------ Remember the chilling "Open the pod bay doors, Dave"? HAL 9000, the rogue AI from 2001: A Space Odyssey, wasn't just sci-fi; it was a chilling premonition of our AI future. Join us on a thrilling TED Talk journey where we dissect HAL's ethical breakdown, uncovering vital lessons in hubris, blame, transparency, and accountability. It's not just about robots gone bad; it's about building a future where AI partners with humanity, not leaving them floating in space. Dive in and discover how we can avoid HAL's tragic fate. Your future depends on it. Click the link and join the conversation! MODULE FOCUS -------------------- This module discusses how the lessons of HAL 9000 from 2001: a Space Odyssey can inform both the development of modern AI models, and the practice of model training, by examining the role hubris the developers and end users played in tragedy. Solutions are discussed as a function of blame and the interconnected finger-pointing that failed Dave in space.
MODULE OBJECTIVES —---------------------- Identify root cause of murder: Define the systems and actions that went into causing a catastrophe with A I. Find solutions for current training: Discuss weaknesses and glean lessons from the lack of accountability and the poorly transparent systems leading into the Discovery One mission. Encourage safety practice: Build hope and optimism for correcting future problems with contemporary solutions in the development of current technology. .------------------------------------------------------------------------ Please note: Course materials, including character voices and AI-generated scripts, utilize third-party text-to-speech and language models available on public platforms like play.ht, murf.ai, ttsreader.com, and RunwayML.com for audio generation. They do not represent endorsements. Scripts are developed from editor outlines and prompts in collaboration with Claude from Anthropic, Bard from Google, Perplexity.ai chatGPT from OpenAI, and Pi from Inflection AI. The cover art is generated via Bing Chat. Special thanks to these contributions. Use of these platforms and attribution does not in any way serve as an endorsement of products or services. ----------------------------------------------------------------------- Listen and discuss how to avoid disaster and double murder!
TEDFLOORE TALK OVERVIEW ------------------------ Remember the chilling "Open the pod bay doors, Dave"? HAL 9000, the rogue AI from 2001: A Space Odyssey, wasn't just sci-fi; it was a chilling premonition of our AI future. Join us on a thrilling TED Talk journey where we dissect HAL's ethical breakdown, uncovering vital lessons in hubris, blame, transparency, and accountability. It's not just about robots gone bad; it's about building a future where AI partners with humanity, not leaving them floating in space. Dive in and discover how we can avoid HAL's tragic fate. Your future depends on it. Click the link and join the conversation! MODULE FOCUS -------------------- This module discusses how the lessons of HAL 9000 from 2001: a Space Odyssey can inform both the development of modern AI models, and the practice of model training, by examining the role hubris the developers and end users played in tragedy. Solutions are discussed as a function of blame and the interconnected finger-pointing that failed Dave in space.
MODULE OBJECTIVES —---------------------- Identify root cause of murder: Define the systems and actions that went into causing a catastrophe with A I. Find solutions for current training: Discuss weaknesses and glean lessons from the lack of accountability and the poorly transparent systems leading into the Discovery One mission. Encourage safety practice: Build hope and optimism for correcting future problems with contemporary solutions in the development of current technology. .------------------------------------------------------------------------ Please note: Course materials, including character voices and AI-generated scripts, utilize third-party text-to-speech and language models available on public platforms like play.ht, murf.ai, ttsreader.com, and RunwayML.com for audio generation. They do not represent endorsements. Scripts are developed from editor outlines and prompts in collaboration with Claude from Anthropic, Bard from Google, Perplexity.ai chatGPT from OpenAI, and Pi from Inflection AI. The cover art is generated via Bing Chat. Special thanks to these contributions. Use of these platforms and attribution does not in any way serve as an endorsement of products or services. ----------------------------------------------------------------------- Listen and discuss how to avoid disaster and double murder!