AI-enhanced productivity is taking hold across industries. From translation, media, design, legal, to film AI is taking over tasks and leaving humans to decide the details and final execution: “the final intellectual lifting”.
“[…] we do now find ourselves in a strange position. We have to accept that artificial intelligence is rapidly mastering tasks that we have long deemed off-limits for machines. […] We have to welcome these new AI coworkers, and correct them when they make mistakes—all the while acknowledging that at some point, we just might teach them enough that they start climbing up the corporate ladder.”
New HR tools aimed at eliminating biases in hiring practices and encouraging a more diverse and inclusive workplace are emerging. Some examples, such as Textio, uses natural language processing “to score job descriptions for gender neutrality from zero to 100”
“Enlightened leaders really understand bias has a negative impact on productivity and innovation. From hiring to retention … in every aspect, groups must eliminate anchoring bias and be deliberate in how they think.”
Source: IT WORLD
Doctors spend a surprisingly large amount of time documenting patient-doctor conversations and summarizing notes. The Google Brain Team has started conducting a project on voice recognition technologies together with physicians and researchers from Stanford University to make this task simpler.
“In “Speech Recognition for Medical Conversations”, we show that it is possible to build Automatic Speech Recognition (ASR) models for transcribing medical conversations. While most of the current ASR solutions in medical domain focus on transcribing doctor dictations (i.e., single speaker speech consisting of predictable medical terminology), our research shows that it is possible to build an ASR model which can handle multiple speaker conversations covering everything from weather to complex medical diagnosis.”
Source: RESEARCH GOOGLE BLOG
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