About the Talk: AI will have significant, far-reaching economic and societal impacts. Technology shapes the lives of individuals, how we interact with one another, and how society as a whole evolves. We believe that decisions about how AI systems behave should be shaped by diverse perspectives reflecting the public interest. Join Lama Ahmad (Policy Researcher at OpenAI) and Saffron Huang and Divya Siddarth (Co-Directors of the Collective Intelligence Project) in conversation to reflect on why public input matters for designing AI systems, and how these methods might be operationalized in practice. The Collective Intelligence Project White Paper: The Collective Intelligence Project (CIP) is an incubator for new governance models for transformative technology. CIP will focus on the research and development of collective intelligence capabilities: decision-making technologies, processes, and institutions that expand a group’s capacity to construct and cooperate towards shared goals. We will apply these capabilities to transformative technology: technological advances with a high likelihood of significantly altering our society. Read More About the OpenAI Grant, Democratic Inputs to AI

The webinar, part of the ongoing ChatGPT Enterprise Learning Lab series, featured Ben Kinsella, a member of OpenAI’s Human Data Team, alongside Lois Newman, Customer Success Manager, and Aaron Wilkowitz, Solutions Engineer. They explored how ChatGPT Enterprise can empower organizations by streamlining data analysis, enhancing productivity, and fostering a data-driven culture. Key Takeaways: 1. Data Security & Privacy: Lois highlighted the robust data privacy and compliance measures of ChatGPT Enterprise, emphasizing that user data is not used to train models and is fully controlled by the organization. 2. Integration with Data Infrastructure: The session outlined how ChatGPT Enterprise can seamlessly integrate with existing tech stacks, providing employees with easy access to powerful AI tools. 3. Demos and Practical Applications: Aaron demonstrated how ChatGPT Enterprise helps teams prepare, analyze, and visualize data, showcasing examples from anomaly detection to complex forecasting. AI-Powered Data Analysis: 1. Enhanced Accessibility: ChatGPT Enterprise makes it easier for non-technical employees to run analyses, freeing data scientists to focus on more complex tasks. 2. End-to-End Demos: The session included live demos showing how users can prepare data, generate visual insights, and integrate results directly with tools like Jira and Outlook using GPT Actions. Q&A Highlights: Elan Weiner, Solutions Engineer, joined for a live Q&A, answering questions about integrating ChatGPT into organizational workflows and data security concerns.

Lois Newman led another session in the exciting ChatGPT Enterprise Learning Lab series. During the session, participants gained valuable insights into deploying ChatGPT widely across their organizations, along with best practices for driving user adoption. Whether attendees were just beginning with ChatGPT or looking to scale existing initiatives, the session provided actionable strategies for ensuring success. Designed to guide users through the ins and outs of GPT technology, the series offered a comprehensive overview of essential topics. The agenda covered: 1. AI Strategy 2. Change Management 3. Understanding ChatGPT Users 4. Developing Use Cases 5. Adoption Initiatives

Natalie Cone introduced three key contributors to OpenAI's O1 model, Ahmed Elkishki, Hongyu Ren, and G.B. Parascandolo, who discussed the development and reasoning capabilities of the O1 model. The speakers shared insights on how the O1 model utilizes reinforcement learning to develop its reasoning skills, including breaking down complex problems into sub-steps, error correction, and employing a structured thought process, similar to how humans solve problems. The discussion emphasized the significance of reasoning in AI, highlighting O1's ability to handle complex tasks, including high-level math problems and code generation. Ahmed presented O1's advanced capabilities, showing its superior performance in benchmarks like AIME and Codeforces, demonstrating how reasoning allows the model to explore different approaches before reaching a solution. Hongyu introduced O1 Mini, a smaller, more cost-efficient version optimized for STEM tasks, while maintaining high performance in general inquiries. The event also included a Q&A session, where the speakers addressed questions on the nuances of reasoning, O1's applicability in creative domains, and its potential impact on AGI development. Overall, the discussion showcased O1 as a pioneering advancement in reasoning-focused AI, with significant implications for the future of large language models.

About the Talk: Unlock the full potential of ChatGPT Enterprise with this live webinar hosted by Lois Newman, Customer Success Manager at OpenAI. This foundational session provides an overview of ChatGPT Enterprise, including an introduction to GPT-4o and its latest advancements. You'll learn about multimodality, practical everyday use cases and we’ll also explore how ChatGPT can enhance data analysis tasks, making complex processes more efficient. To help you get the most out of the tool, the session includes prompt engineering tips and tricks, guiding you on how to craft prompts to get the best results. This is the first in a series unfolding throughout the rest of the year. Our sessions will become more advanced over time, and tailored to the needs of the community. Your attendance, participation, and questions will inform future sessions. Whether you're new to ChatGPT Enterprise or looking to maximize its capabilities, this webinar offers valuable insights to help you effectively integrate AI into your daily operations. About the Speaker: Lois is a Customer Success Manager at OpenAI, specializing in user education and AI adoption. With over 10 years of experience in SaaS, she has extensive experience in developing and delivering engaging content, from large-scale webinars to stage presentations, aimed at enhancing user understanding and adoption of new technologies. Lois works closely with customers to ensure ChatGPT is integrated into daily activities and effectively utilized in the workplace. Lois is known for her storytelling approach, making complex technology relatable and accessible to all audiences.

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Yonadav presents his research Practices for Governing Agentic AI Systems.

As AI gets more advanced and widely used, it is essential to involve the public in deciding how AI should behave in order to better align our models to the values of humanity. Last May, we announced the Democratic Inputs to AI grant program. We partnered with 10 teams out of nearly 1000 applicants to design, build, and test ideas that use democratic methods to decide the rules that govern AI systems. Throughout, the teams tackled challenges like recruiting diverse participants across the digital divide, producing a coherent output that represents diverse viewpoints, and designing processes with sufficient transparency to be trusted by the public. At OpenAI, we’re building on this momentum by designing an end-to-end process for collecting inputs from external stakeholders and using those inputs to train and shape the behavior of our models. Our goal is to design systems that incorporate public inputs to steer powerful AI models while addressing the above challenges. To help ensure that we continue to make progress on this research, we have formed a “Collective Alignment” team.