AI Impacts Survey - The key implications, with Katja Grace
Jun 13, 2024
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Katja Grace, researcher and blogger from AI Impacts, discusses the 2023 survey on AI progress showing a shorter time expected for human-level AI. They explore AGI vs superintelligence, job automation, GPT writing styles, and risks of advanced AI surpassing human intelligence and the need for caution in AI development.
The 2023 expert survey highlighted a significant shift in estimated timelines for achieving milestones in artificial intelligence, influenced by advancements in technologies like transformers and GPTs.
The survey introduced two distinct landmarks in AI development - high level machine intelligence (HLMI) and full automation of labor, reflecting varied expectations on the feasibility of AI capabilities and diverse perspectives on progression.
Deep dives
Survey on Progress in AI Results: Time Estimates for Achieving High Level Machine Intelligence
The 2023 expert survey revealed a significant shift in estimated timelines for achieving milestones in artificial intelligence. The median estimate for the arrival of high level machine intelligence (HLMI) with 50% likelihood dropped from 2060 to 2045 in just one year. This shift is attributed to the advancement in AI technologies like transformers and GPTs, marking a new trend in expectations. Surveys from previous years showed minimal changes in anticipated timelines, making this recent shift noteworthy and indicative of emerging developments.
Distinguishing Landmarks: High Level Machine Intelligence vs. Full Automation of Labor
The survey introduced two distinct landmarks in AI development: high level machine intelligence (HLMI) and the full automation of labor. HLMI signifies the point where machines can outperform human workers in all tasks, while job automation focuses on the automatability of human occupations. Despite their differences, both landmarks center on the feasibility of AI capabilities rather than immediate implementation. Survey responses reveal varied expectations concerning the timeline for achieving these milestones, reflecting diverse perspectives on the progression of AI technologies.
Challenges in Defining Artificial General Intelligence (AGI)
The concept of artificial general intelligence (AGI) poses challenges in defining its parameters and implications. While some view AGI as a transformative milestone akin to superintelligence, others emphasize the ambiguity around AGI characteristics and prerequisites. Definitions of AGI vary, leading to debates on its nature and potential impact on society. The evolution of AGI discussions underscores the complexity of envisioning a singular momentous AI breakthrough amidst diverse interpretations and uncertainties.
Navigating Existential Risks: Evaluating AI Impact on Human Flourishing
Assessing the probability of AI-induced human extinction highlights the careful balance between optimism and caution among AI experts. Survey respondents exhibit varying degrees of uncertainty regarding the existential risks posed by superintelligence. The deliberation on AI's potential impact on human flourishing underscores the need for nuanced discussions on aligning AI goals with societal values. The dynamic interplay between advancing AI capabilities and ethical considerations remains a focal point in navigating future existential threats.
Our guest in this episode grew up in an abandoned town in Tasmania, and is now a researcher and blogger in Berkeley, California. After taking a degree in human ecology and science communication, Katja Grace co-founded AI Impacts, a research organisation trying to answer questions about the future of artificial intelligence.
Since 2016, Katja and her colleagues have published a series of surveys about what AI researchers think about progress on AI. The 2023 Expert Survey on Progress in AI was published this January, comprising responses from 2,778 participants. As far as we know, this is the biggest survey of its kind to date.
Among the highlights are that the time respondents expect it will take to develop an AI with human-level performance dropped between one and five decades since the 2022 survey. So ChatGPT has not gone unnoticed.