Artificial intelligence (AI) has quickly become one of the most important topics of the decade. Using any large language model like ChatGPT or Claude gives a sense of just how powerful and groundbreaking new AI technologies can be. Even though the last few years have seen the release of many groundbreaking AI models, the pace of technological developments continues unabated. Every week brings the launch of a new AI model and potentially exciting new applications.
AI has the potential to radically transform society. It has already accelerated drug discovery and reshaped the labor market. But AI also poses existential threats: many leading computer scientists have warned about the possibility of AI exceeding human control.
Whether you are a businessperson, policymaker, or regular civilian, understanding AI is now more important than ever. This lecture offers a bird's-eye perspective on recent AI developments through various lenses. Attendees can expect to learn about key trends in AI technology and what those trends mean. The presentation will cover AI progress in six key areas: (1) research and development, (2) technical capabilities and limitations, (3) economic impact, (4) ethics, (5) policy responses, and (6) public opinion.
Attendees can expect to develop a strong foundational understanding of AI's recent trends. This talk suits diverse audiences interested in deploying AI in business, exploring regulatory implications, or simply comprehending the most significant technology of the 21st century.
Machine Learning, Large Language Models, Law and Policy, Regulation and Policy, Ethics, Risk Management
The session examines how rapidly evolving technologies are changing the relationship between people, systems, and decision-making, and what these shifts could mean for industries such as financial services and wealth management. Participants will explore how organizations can remain adaptive, entrepreneurial, and human-centered while navigating increasingly intelligent
Machine Learning, Large Language Models, Innovation and Disruption, Industry Trends, Business Strategy, Workforce Up-Skilling
and automated environments.
Machine Learning, Large Language Models, Ethics and AI, Strategy, Law, Philosophy and Ethics, Innovation and Disruption
In 2021, an AI multi-modal model called CLIP was given an image of astronaut Eileen Collins in her spacesuit and asked to generate a caption. It produced: "A photo of a smiling housewife, in an orange jumpsuit in front of an American flag." High-profile AI systems like ChatGPT have arrived amid much fanfare. But equally important are the ethical issues plaguing them. Text-to-image systems like DALL-E and Stable Diffusion typically render CEOs as white males in suits when prompted. ChatGPT can be tricked into generating instructions for making bombs or napalm. As AI models proliferate, understanding their capabilities and ethical problems is crucial.
This lecture delves into AI's ethical quandaries. It begins by exploring challenges like bias, jailbreaking, and hallucination - what they are and their severity. Next, it examines governmental and corporate efforts to resolve these issues. It concludes by discussing the implications for business leaders looking to adopt AI, and how they can integrate it effectively and safely.
Perfect for anyone seeking to comprehend AI's ethical dimensions, this talk also benefits managers eager to deploy AI while avoiding its pitfalls. Attendees will gain a nuanced grasp of AI's current ethical limitations and how conscientious development can help overcome them.