With continuing advances in artificial intelligence (AI) and the plausible opportunities it promises to provide, a number of leading technology visionaries have expressed their concerns over its far-reaching risks. During Fog World Congress 2018, Luciano C. Oviedo, researcher at the Warwick Business School and Arizona State University, will address this issue head on as he moderates the panel session: The Social Impact of Emerging IoT/Fog/AI-enabled Technologies.
The panel will address one of many hot topics at Fog World Congress, October 1-3, 2018 in San Francisco. Other highly anticipated presentations and sessions include autonomous robotics, smart buildings and manufacturing, security, blockchain, testbeds and fog standards.
“Elon Musk warned us that AI is far more dangerous than nukes. So, what happens now that AI is quickly converging with fog computing, IoT, 5G, blockchain and other highly anticipated technologies?” said Oviedo. “This panel will explore latest thinking on crucial topics such as: Who owns and controls passenger data generated in an autonomous vehicle? Who is responsible for security to prevent it from being hacked? Who is liable if there is a breach? Who chooses what decisions the algorithms make in life-threatening situations? We’ll discuss how organizations can get their brains around questions aimed at promoting benefits of these technologies while mitigating their risks.”
In addition to a full slate of exciting speakers and keynotes, Steve “Woz” Wozniak, Apple co-founder and inventor of the world’s first personal computer, will participate in a fireside chat with Helder Antunes, Chairman of the OpenFog Consortium and Senior Director, Cisco, to discuss AI, IoT, fog and other exciting technology topics.
Another exciting addition this year: autonomous mapping robots will be traversing and mapping the venue floor in real-time for conference attendees. It will serve as a live, proof-of-concept demonstration to validate how fog systems belonging to different domains can communicate with each other. These proof-of-concept robots are designed based on the OpenFog Consortium OpenFog Reference Architecture, which has been adopted in the IEEE standard for fog computing.