auerbach
Dynamic embedded topic models and change-point detection for exploring literary-historical hypotheses
We present a novel combination of dynamic embedded topic models and change-point detection to explore diachronic change of lexical semantic modality in classical and early Christian Latin. We demonstrate several methods for finding and characterizing patterns in the output, and relating them to traditional scholarship in Comparative Literature and Classics. This simple approach to unsupervised models of semantic change can be applied to any suitable corpus, and we conclude with future directions and refinements aiming to allow noisier, less-curated materials to meet that threshold.
- Asia > Middle East > Jordan (0.04)
- Africa (0.04)
Tech expert warns AI could threaten human connectivity, romance: 'Latest version of a long tradition'
Technologist David Auerbach joined'Fox & Friends Weekend' to discuss artificial intelligence and its impact on relationships and human connection. Experts say artificial intelligence companions are here, but as concerns mount over the unchecked potential of AI, many fear the growth of the technology could threaten human authenticity and connectivity. One technologist argued that the presence of AI chatbots and even the phenomenon of forming an attachment to an artificial being is not new. "There are already chatbots out there that people have coursed to act romantically with them, and they were devastated when they were turned off. So one of the issues is just when you have people manufacturing these things that can create that level of emotional connection with a human being, well, that's a pretty powerful force. Whether it's five years or ten years from now, I think it is coming," technologist David Auerbach said on "Fox & Friends Weekend" Saturday.
AI-Human Romances Are Flourishing--And This Is Just the Beginning
Fictional humans have been falling in love with robots for decades, in novels like Do Androids Dream of Electric Sheep? (1968), The Silver Metal Lover (1981) and films like Her (2013). These stories have allowed authors to explore themes like forbidden relationships, modern alienation and the nature of love. When those stories were written, machines were not quite advanced enough to spark emotional feelings from most users. But recently, a new spate of artificial intelligence (AI) programs have been released to the public that act like humans and reciprocate gestures of affection. And some humans have fallen for these bots--hard. Message boards on Reddit and Discord have become flooded with stories of users who have found themselves deeply emotionally dependent on digital lovers, much like Theodore Twombly in Her.
- North America > United States > California > San Francisco County > San Francisco (0.05)
- Asia > Japan (0.05)
- Information Technology > Communications > Social Media (0.96)
- Information Technology > Artificial Intelligence > Natural Language > Chatbot (0.92)
Consumers ready to take control with new AI-assisted devices
One of the key, long-anticipated benefits of advances in health IT has been the increased capacity for consumers to get in the driver's seat when it comes to managing their own healthcare. And, not surprisingly, that anticipation is only increasing with the rise of AI. In a recent column, Steve Auerbach, CEO of Alegeus, a provider of consumer-assisting healthcare platforms, points to four areas that, with new AI, are "ripe for high-impact innovation." First, he says, new machine learning tools can be tapped to help consumers to select the right combination of plan and benefit accounts "based on past spending behaviors and a future needs analysis – providing recommendations every step of the way with the goal to stretch each dollar further, while at the same time educating the consumer on key topics such as retirement planning and saving strategies." These improvements won't simply benefit consumers, he says, but will also improve the overall health and financial wellness of the overall workforce. Second, he predicts better – meaning "smarter"– consumer spending.
- Health & Medicine > Consumer Health (0.38)
- Consumer Products & Services > Retirement (0.38)