Social Thinking for CS Education
Technology is disrupting, destabilizing, and transforming many aspects of the labor force. Data & Society seeks to better understand emergent disruptions in the labor force as a result of data-centric technological development, with a special focus on structural inequalities.
The goal of this project is to better understand exactly how existing and proposed policies affect connected learning initiatives and where and when student data can and should be used. We are working with technology developers, policymakers, and researchers to identify and address issues that hinder efforts to empower young people and advance their learning opportunities.
The Intelligence and Autonomy initiative develops policy research connecting the dots between robots, algorithms, and automation. Our goal is to reframe debates around the rise of machine intelligence.
What is the future of human rights and human security in a data-saturated world? In today’s global digital ecosystem, cell phones can document and distribute images of physical violence. Drones and satellites can assess disasters from afar. Big Data collected from social media can provide real-time awareness about political protests. Yet practitioners, researchers, and policymakers face unique challenges and opportunities when assessing technological benefit, risk, and harm. How can these technologies be used responsibly to assist people in need, prevent abuse, and protect from harm?
Privacy is a theme that arises in the context of most of Data & Society’s work, and contributions to our understanding of the issues at play have come from all corners of the community.
D&S researcher Alex Rosenblat was interviewed by Radio NZ about Uber and the promises it makes its drivers, i.e. flexible hours and freedom.
Data & Society Research Institute
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