Automatic identification of hateful and abusive content is vital in combating the spread of harmful online content and its damaging effects. Most existing works evaluate models by examining the generalization error on train-test splits on hate speech datasets. These datasets often differ in their definitions and labeling criteria, leading to poor model performance when predicting across new domains and datasets. In this work, we propose a new Multi-task Learning (MTL) pipeline that utilizes MTL to train simultaneously across multiple hate speech datasets to construct a more encompassing classification model. We simulate evaluation on new previously unseen datasets by adopting a leave-one-out scheme in which we omit a target dataset from training and jointly train on the other datasets. Our results consistently outperform a large sample of existing work. We show strong results when examining generalization error in train-test splits and substantial improvements when predicting on previously unseen datasets. Furthermore, we assemble a novel dataset, dubbed PubFigs, focusing on the problematic speech of American Public Political Figures. We automatically detect problematic speech in the $305,235$ tweets in PubFigs, and we uncover insights into the posting behaviors of public figures.

AI has the potential to deliver real value in business, creating unprecedented efficiencies across countless processes. But is South Africa's industry ready? In the 1964 children's novel by British author Roald Dahl Charlie and the Chocolate Factory, Charlie's dad, Mr Bucket, loses his job when the factory where he works is mechanised. Once responsible for screwing the lids onto tubes of toothpaste, he gets laid off because a robot is able to perform his job more cheaply and efficiently. This trope of man being replaced by machine often comes up in discussions about artificial intelligence (AI) and its potential impact on our world and workforce.

Dialpad CEO Craig Walker, left, is joining forces with TalkIQ boss Dan O'Connell. Artificial intelligence is one of Silicon Valley's favorite buzzwords. Artificial intelligence, specifically in how it can quickly analyze the human voice, is at the core of Dialpad acquiring TalkIQ in a deal announced on Wednesday. Both startups had gotten some buzz in recent months, but Dialpad, the acquirer, was far bigger, having raised $70 million and carrying a valuation of about $250 million, according to PitchBook. TalkIQ had raised about $22 million in funding.

For two decades, Arteric has led pharmaceutical and biotech brand teams through the selection and implementation of complex emerging marcom technologies. Scouting the digital landscape and educating clients are how Arteric helps marketing teams see opportunities that others miss and to transform those events into competitive advantage. Arteric's ongoing education program will continue on May 15 at the 2018 BioPharma eMarketing Summit West, where President and Chief Strategist Hans Kaspersetz will share two case studies during his presentation titled "AI - Super Hearing for Healthcare Marketers. BioPharma eMarketing Summit West is a TED-style venue that features an audience of more than 200 marketing executives from pharma, biotech, and medical device organizations. More than 45 thought leaders from companies such as Johnson and Johnson, Pfizer, Daiichi Sankyo, and Microsoft will share insights and case studies on leading-edge issues such as: · Utilizing big data to tell stories and to streamline pipelines · Establishing metrics to understand the effectiveness of a digital marketing strategy · Capitalizing on disruptive marketing "Detecting and capturing audience signals will be a central theme emphasized throughout several Biopharma eMarketing sessions," states Mr. Kaspersetz. "At the core of every Arteric digital strategy is the integration of the reality that customers are experiencing our brands across hundreds of micro-moments.

This is one of four articles about companies' usage of artificial intelligence and other types of intelligent automation. Artificial intelligence will reduce risk, increase value, and help drive a cost-effective approach to tax reporting. Companies that are bold enough to embrace artificial intelligence will gain a big competitive advantage. Simplicity is the value proposition that should be expected from the implementation of modern technology solutions. Lee Coulter arrived at a point when he recognized within himself a chronic "near-medical-level" case of frustration.

R. Lee Coulter, one of the organizers of the 2016 World BPO/ITO Forum, is senior vice president of St. Louis-based Ascension Health, the nation's largest nonprofit health system, and CEO of its shared services subsidiary, the Ascension Ministry Service Center. His focus on shared services, business process outsourcing, or BPO, and technology spans a 30-year career in leadership positions at companies, including General Electric, AON and Kraft Foods. Here, he talks to SearchCIO senior executive editor Linda Tucci about the current state of artificial intelligence (AI) applications in outsourcing and what's on the horizon. This interview has been condensed and edited. Lee Coulter: AI is not being applied to outsourcing today, in so far as we're talking about the shared services and outsourcing industry.