Human-Centered AI - the potential impact of AI on future generations
“"there clearly are safety concerns. I think before the safety concerns, there is; if the product works as advertised. You'd never buy a car or a drone that hasn't been tested and certified. So I think if we look at these systems before they are going to be broadly released, there should be at least some reassurance that they will actually do what they are supposed to do."
Roy Perrault Co-Chair, AI Index Steering Committee; Distinguished Computer Scientist, SRI International
This week, Katrine K. Pedersen participated in the launch of the Stanford University Institute for Human-Centered AI - Index Report 2023. In the following blog post, she offers her reflections on the report's conclusions as well as 10 key points about the potential impact of AI on future generations.
During the event, Roy Perrault Co-Chair, AI Index Steering Committee; Distinguished Computer Scientist, SRI International, was asked about his opinion on AI products such as ChatGpt 4, to which he replied: "there clearly are safety concerns. I think before the safety concerns, there is; if the product works as advertised. You'd never buy a car or a drone that hasn't been tested and certified. So I think if we look at these systems before they are going to be broadly released, there should be at least some reassurance that they will actually do what they are supposed to do."
This statement underscores the fact that the tech industry is entering a new era, where the focus is shifting from the move-fast-and-break-things/hackathon/disruption era to what I have called ‘the Responsibility Economy'. This shift is especially significant in the context of the rising interest of policymakers in AI. Also it is worth noting that the United States maintains its dominant position as the primary owner and influencer of the internet.
10 key findings:
1. The US and China continue to dominate AI research.
2. The technical capabilities of AI systems are increasing, leading to greater rates of AI deployment in businesses, governments, and other organizations.
3. Fairness, bias, and ethics in machine learning continue to be topics of interest among both researchers and practitioners.
4. AI-related education is on the raise.
5. Policymaker interest in AI is on the rise, with a growing number of bills containing “artificial intelligence” being passed into law globally.
6. The US is passing more AI bills into law than ever before, both at the federal and state levels.
7. The number of incidents concerning the misuse of AI is rapidly rising.
8. The environmental impact of AI is a growing concern and is now being analyzed as part of the AI technical progress report.
9. There is tension between raw model performance and ethical issues, highlighting the need for new metrics quantifying bias in multimodal models.
10. The integration of AI and the economy raises important questions about productivity, wages, and the replacement of workers.
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