The race to dominate artificial intelligence
Daniel Araya
Ownership and control of AI and machine learning represent a level of geopolitical power that will reshape virtually every domain of human activity.
One of the biggest challenges that we face going forward is how we deal with rapid technology shifts in a way that encourages and enables innovation while also considering the effects on people and systems. How technology will be managed and regulated is uncertain. Here, we explore how technology is shaping the law, and how the law will change the ways we can use technology, bringing worldwide perspectives to the conversation.
Ownership and control of AI and machine learning represent a level of geopolitical power that will reshape virtually every domain of human activity.
Among the problems with facial recognition software is that it’s an imperfect science that often tends to have glaring race-based problems.
Deepfake uses AI, machine learning, facial mapping and other advanced technologies to seamlessly integrate or superimpose images into videos.
In the first of our two-part series, we’re asking: a decade into the digital development boom, are we in danger of being duped by smart city hype?
Since the days of Star Trek, we’ve always wanted to talk to computers. Recent advancements in voice technology, AI and IoT have now made that a reality.
AR represents a next level interface – one that blends the digital and physical, creating a hybrid space and experience. Written by Galit Ariel.
If laws did exist to protect players, it would be an inter-jurisdictional mess: player one in one town or country, player two potentially half a world away.
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When 5G connectivity emerges, it won’t just be mobile devices that benefit, but rather vehicles will be feeling the impact even more.
The Fourth Industrial Revolution will change existing industries, create new ones and deliver productivity jumps. But well-crafted policies are needed.
