The session on Toward More General Artificial Intelligence was co-chaired by Asli Celikyilmaz and Chris Manning. We started with a shared reflection on where AI is today. For all of the excitement, AI researchers agree that solutions to date have been quite brittle and narrow in scope and capabilities. Presentations and discussions in this session covered key directions, opportunities, and research investments aimed at overcoming long-term challenges with achieving more general AI capabilities, including research that could enable AI systems to do more effective learning about the world in the wild from unsupervised data, methods for garnering and manipulating large amounts of commonsense knowledge, transferring learnings on one or more tasks to new tasks and new domains, and reasoning about causes and effects. The session on Human-AI Collaboration and Coordination was co-chaired by Ece Kamar and James Landay.
The biggest trend emerging in 2017 has got to be artificial intelligence (AI), and its applications in machine learning, robots, and blockchain technologies. This certainly became apparent for me at two events I attended last fall. I was invited to speak about design thinking at logistic company Dematic's global supply chain conference and had a chance to visit their robotics trade show. The excitement about robotics and emerging technologies was through the roof, and no one seemed to be afraid of robots taking over the world. The answer is simple; they need cross-disciplinary problem-solvers, and leaders who know how to manage people, just like any other successful 21st century company.)
Neuhaus, Peter (Florida Institute for Human and Machine Cognition (IHMC)) | Raj, Anil (Florida Institute for Human and Machine Cognition (IHMC)) | Clancey, William J. (Florida Institute for Human and Machine Cognition (IHMC))
This issue of AI Magazine includes six articles on cognitive orthoses, which we broadly conceive as technological approaches that amplify or enhance individual or team cognition across a wide range of goals and activities. The articles are grouped by how they relate to orthoses enhanced socio-technical team intelligence at three different cognitive levels—sensorimotor physical, professional learning, and networked knowledge.
The U.S. federal government will spend close to $1 billion in artificial intelligence by 2023, according to market researcher IDC. This investment has more than tripled since 2018, showing how important AI is becoming as government agencies develop plans to modernize and automate their business processes. According to new research from Accenture--The Coming Federal Productivity Boom--federal agencies are poised to transform this investment into $364 billion of added productivity by 2028. Under more intensive investment forecasts, these productivity gains could reach $532 billion by the same year. At that point, AI could be applied to tasks that consume 30% of the average federal worker's time.
No matter how much sweetness or spin you add to it, early incarnations of AI-powered chatbots are the call centers of this generation. They're relatively inexpensive compared to human agents. Yes, chatbots scale engagement through new, popular messaging channels and introduce conversational commerce capabilities that carry the potential to deliver incredible experiences. But here's the thing…most of the interactions are basic, seeking to replicate existing transactions and experiences that only seem to wow those designing not experiencing them. On the other side of code and algorithms however, are discerning, sophisticated, self-interested human beings.