How Can Machines Learn Human Values? - With Brian Christian
Exploring challenges in AI ethics, including data bias, fairness, and value alignment. Discusses innovative solutions for building more robust and ethically-aligned machine learning systems.
AI News Roundup - Latest Developments and Breakthroughs
Comprehensive roundup of recent AI developments, including new features, models, and industry debates, offering insights into the rapidly evolving landscape of artificial intelligence technology.
OpenAI Embeddings and Controversy
Explore OpenAI's new embeddings API, its performance claims, and controversies. Analyze comparisons with open-source models, pricing strategies, and real-world applications of text and code embeddings.
AI Alignment Livestream - OpenAssistant "Just Chatting"
Explore AI alignment and OpenAssistant in this livestream. Yannic Kilcher discusses key concepts, challenges, and developments in the field of artificial intelligence alignment.
An Unethical Optimisation Principle
Explore the ethical implications of AI optimization strategies and their potential for unintended consequences in financial markets and AI regulation.
Stanford University's New Approach to Mitigate Negative Ethical and Societal Aspects of AI Research
Stanford's Ethics and Society Review board: A novel approach to mitigate ethical and societal impacts of AI research, requiring researchers to address potential harms before receiving funding.
On the Dangers of Stochastic Parrots - Can Language Models Be Too Big?
Explore the risks and ethical implications of large language models with experts, discussing potential mitigation strategies and the future of NLP research.
Safe and Ethical Priorities for AI
Exploring UK's role in responsible AI innovation, covering safety, ethics, governance, and practical applications like tactile robotics. Insights from experts on fostering trust and creating impactful AI solutions.
Why AI is Harder Than We Think
Explore AI's challenges and misconceptions with Melanie Mitchell, delving into fallacies, overconfident predictions, and the complexities of intelligence. Gain insights on creating more robust, general, and adaptable AI systems.
ChatGPT Basics for Beginners - AI Development Tutorial
Comprehensive tutorial on ChatGPT basics, covering features, extensions, and applications in various fields. Learn to effectively use AI for writing, entertainment, and personal growth.
Ethics and Leadership in AI: Addressing Bias and Shaping the Future - 2020 NCSSM Conference Keynote
Explore AI ethics, bias, and societal impact with tech leader Phaedra Boinodiris. Gain insights on data privacy, future skills, and the role of education in shaping ethical AI development and implementation.
Ethics - Full Stack Deep Learning - Spring 2021
Explore AI ethics, covering long-term challenges, hiring practices, fairness, representation, and best practices. Gain insights into crucial ethical considerations for AI development and implementation.
Building an Ethical Data Science Practice
Explore building an ethical data science practice, focusing on transparency, fairness, and explainability. Learn strategies to operationalize ethical AI and foster proactive risk management in your organization.
Ethical Use of Data for AI - Episode 5
JoAnn Stonier discusses ethical data use in AI, addressing bias, GDPR, global responsibility, and societal impact. She offers insights on eliminating bias and advice for data leaders.
Generative AI: Disruptions and Implications for Institutions, Enterprises and Society
Explore the impact of generative AI on institutions, enterprises, and society. Learn about deployment, scalability, sustainability, and governance of this powerful technology.
ChatGPT, Stable Diffusion, and the Future of Open Source AI
Explore the impact of generative AI on open source ethics, data usage, and individual rights, with insights from a leading AI scientist on the future of this technology.
Trusted and Responsible AI - Explainability, Adversarial Attacks, Bias, and Fairness
Explore key aspects of responsible AI: explainability, adversarial challenges, bias mitigation, and fairness. Learn strategies for building trustworthy and ethical AI systems in real-world applications.
Artificial Intelligence and the Future of Humanity
Explore AI's impact on society, work, and technology. Learn about neural networks, job automation, ethical concerns, and future possibilities from AI expert Andrew Ng.
Unleash the Power of Large AI with a Responsible Approach on Azure
Explore responsible AI implementation on Azure, focusing on leveraging large-scale AI models while adhering to ethical guidelines and best practices.
An Open Future for Conversational AI - Importance and Path Forward
Explore the importance of open conversational AI and strategies for its future development with experts from the Open Voice Network.
The Path to Ethical AI - Balancing Innovation and Accountability
Explore the transformative potential of A.I. and the essential guardrails needed to ensure it remains a force for positive change, balancing innovation with ethical considerations and accountability.