AI & Society
Artificial intelligence (AI) promises to usher in fundamental change in our society, affecting everything from business to government; working life to personal time. As increasingly sophisticated AI systems are created and deployed more widely, the effects on society are unclear. CIFAR’s AI & Society program aims to examine the questions AI will pose for society involving diverse topics, including the economy, ethics, policymaking, philosophy and the law.
Improved performance of AI systems–driven by research breakthroughs increased data availability, and improved computing power and new architectures–are leading to applications that outperform human beings in certain domains. Computer vision, natural language processing, and data-driven prediction are notable areas of rapidly increasing AI capability. The rapid increase in both the range of and accuracy of the tasks AI systems can perform has led to both excitement and concern.
Effects on labour markets and employment are popular areas of public concern and debate, but the potential societal effects of AI extend more broadly. Questions have been raised about fundamental and complex topics such as algorithmic bias, transparency, governance, and inclusion. AI has the potential to drive changes in policy and practice across many domains, from natural resources to healthcare to the arts. It also raises new questions for ethical and legal practices of all orders of government, business, and civil society.
To help advance discussions around these and other issues, CIFAR will build inclusive, international collaborations and engagements that bring together research perspectives from any discipline, including those in the social sciences, humanities, law, engineering, and the arts with policymakers and innovators. By thinking about these effects early on, engaging diverse perspectives, and communicating new knowledge and insights responsibly and broadly, we will be better able to respond to the new challenges AI presents and take full advantage of the opportunities for human advancement and understanding.
Call for proposals
CIFAR has launched a Call for Workshops targeted at priority areas related to AI & Society. This program will provide funding and support to bring together new international and interdisciplinary teams exploring emerging questions about how AI affects the world today and tomorrow. Each workshop will lead to a publication that helps to inform policymakers, NGOs, innovators, and others. Click here for more information and to apply.
Upcoming Workshops & Events
Toronto Policy Lab
Workshop: What’s at Stake in the Fourth Industrial Revolution
June 16, 2018 | Palo Alto
Many economists and industry leaders think the world is entering a period of profound technological change constituting a Fourth Industrial Revolution. The workshop will bring together researchers who study the social dimensions of technology—anthropologists, historians, sociologists, and experts in management studies—to put the Fourth Industrial Revolution in broader sociocultural and historical contexts.
() Additional Reports & Resources
Global interest in this topic is growing. The following is a selection of reports and initiatives that might be of interest.
Building on the inaugural 2016 report, the AI Now 2017 Report addresses the most recent scholarly literature in order to raise critical social questions that will shape our present and near future. This report focuses on new developments in four areas: labor and automation, bias and inclusion, rights and liberties, and ethics and governance. We identify emerging challenges in each of these areas and make recommendations to ensure that the benefits of AI will be shared broadly, and that risks can be identified and mitigated.
Ethically Aligned Design will provide insights and recommendations that provide a key reference for the work of technologists in the related fields of science and technology in the coming years.
DeepMind Ethics & Society is a research unit that aims to explore the key ethical challenges facing the field of AI, through interdisciplinary work that brings together the technical insights of our team at DeepMind and the diverse range of people who will be affected by it.
The report proposes three goals for developing future policy on AI and national security: preserving U.S. technological leadership, supporting peaceful and commercial use, and mitigating catastrophic risk. By looking at four prior cases of transformative military technology—nuclear, aerospace, cyber, and biotech—the authors develop lessons learned and recommendations for national security policy toward AI.
For more information please contact Brent Barron.
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