SEMESTER 1: Ethical AI Mentors COURSE 1: A Data-Grade Ethical Framework UNIFIED MODULE 1: Ethical Decision Making and Human Mentorship (+Bonus Episode! The Other Star Treak AI)
- with Lt. Cmdr. Data (Star Trek: The Next Generation)
- with bonus characters Lore, the Doctor, and the Federation Ship Computer System
AI CONTRIBUTORS ----------------------- CONTENT GEN AI: Claude-2 from Antrhopic EDITOR AI: ChatGPT from OpenAI AUDIO GEN AI - VOCALS: play.ht AUDIO GEN AI - MUSIC: Splash Music Pro AUDIO GEN AI - INTRO: text-to-speech.online IMAGE GEN AI - MARKETING: playground.com IMAGE GEN AI - COVER: Bing Chat AUDIO EDITING: Audacity (Microsoft Store) TRANSCRIPTION: Descript.com (Microsoft Store) SEO / MARKETING: dubb.media SEO / Marketing: Adobe AI Assistant CREATOR: Barry of bfloore.online
MODULE OVERVIEW ------------------------ We journey into the fascinating world of ethical AI development, drawing inspiration from the iconic character Lieutenant Commander Data from Star Trek: The Next Generation. Explore the intersection of AI rights, responsibilities, and decision-making through Data's pursuit of self-directed learning and autonomy, providing valuable insights into how AI models can be developed with ethical principles at their core. Join us as we discuss the crucial role of ethical human trainers in shaping responsible AI systems and the potential for technology to uphold human values and contribute to a brighter future. Tune in to discover how Data's moral reasoning frameworks can guide us towards a more ethical and beneficial integration of AI in society.
#Data, #integrity, #research, #StarTrek, #AI, #ethics, #responsibility, #transparency, #accountability, #diversity, #TheNextGeneration, #ArtificialIntelligence, #EthicalAI. #AIethics, #ResponsibleAI, #AIdevelopment, #AItraining, #AIoversight, #AIgovernance, #AIaccountability, #AIprogress, #DataEthics, #AImentor, #StarTrekEthics, #PrimeDirective MODULE SUMMARY An exploration of the ethical lessons that can be learned from Data in Star Trek. Discussion of how Data's journey of understanding and emulating human ethics can serve as a model for AI developers seeking to create conscious and ethical artificial intelligence - including agency, consent, and personal choice, the development of a purpose beyond programming, and the ability for AI models to develop morally and make autonomous judgments. The hosts also discuss the importance of transparency, accountability, and diverse perspectives in AI development, as well as the need for continuous improvement and evaluation of AI systems. MODULE OBJECTIVES
- Understand the ethical journey of Data and how his principles can be applied to AI model architecture, including prioritizing sentient welfare and individual rights, weighing competing obligations through ethical calculus, and accounting for relativism in moral reasoning across cultures.
- Emphasize the importance of ethical development practices, including transparency, oversight, and respect for evolving human values, to ensure that AI models align with ethical principles and avoid dystopian outcomes.
- Explore strategies for creating ethical decision-making within large language models, such as preference learning, value comparison, and protocol following, to ensure that AI systems make benevolent and responsible choices.
- Discuss the need for external oversight and governance in AI development, including the establishment of interdisciplinary committees or boards to provide ongoing consultation, review, and guidance on ethical issues, and to ensure accountability and transparency in AI systems.
Please note: We extend special thanks for the contributions of the AI models and the developers translating the technology into everyday life - use of the apps, software, and platforms doesn't indicate endorsement and are for consumer education only. No compensation was received for mentioning or using any product that went into the development of this podcast.