This study sets out to answer one major question: Can ChatGPT capture swearing nuances? It presents an empirical study on the ability of ChatGPT to translate Arabic oath expressions into English. 30 Arabic oath expressions were collected from the literature. These 30 oaths were first translated via ChatGPT and then analyzed and compared to the human translation in terms of types of gaps left unfulfilled by ChatGPT. Specifically, the gaps involved are: religious gap, cultural gap, both religious and cultural gaps, no gap, using non-oath particles, redundancy and noncapturing of Arabic script diacritics. It concludes that ChatGPT translation of oaths is still much unsatisfactory, unveiling the need of further developments of ChatGPT, and the inclusion of Arabic data on which ChatGPT should be trained including oath expressions, oath nuances, rituals, and practices.

Though there is much interest in fair AI systems, the problem of fairness noncompliance -- which concerns whether fair models are used in practice -- has received lesser attention. Zero-Knowledge Proofs of Fairness (ZKPoF) address fairness noncompliance by allowing a service provider to verify to external parties that their model serves diverse demographics equitably, with guaranteed confidentiality over proprietary model parameters and data. They have great potential for building public trust and effective AI regulation, but no previous techniques for ZKPoF are fit for real-world deployment. We present OATH, the first ZKPoF framework that is (i) deployably efficient with client-facing communication comparable to in-the-clear ML as a Service query answering, and an offline audit phase that verifies an asymptotically constant quantity of answered queries, (ii) deployably flexible with modularity for any score-based classifier given a zero-knowledge proof of correct inference, (iii) deployably secure with an end-to-end security model that guarantees confidentiality and fairness across training, inference, and audits. We show that OATH obtains strong robustness against malicious adversaries at concretely efficient parameter settings. Notably, OATH provides a 1343x improvement to runtime over previous work for neural network ZKPoF, and scales up to much larger models -- even DNNs with tens of millions of parameters.

When a lifelike, Hanson Robotics robot named Sophia[1] was asked whether she would destroy humans, it replied, "Okay, I will destroy humans." Philip K Dick, another humanoid robot, has promised to keep humans "warm and safe in my people zoo." And Bina48, another lifelike robot, has expressed that it wants "to take over all the nukes." All of these robots were powered by artificial intelligence (AI)--algorithms that learn from data, make decisions, and perform tasks without human input or even, in some cases, human understanding. And while none of these AIs have followed through with their nefarious plots, some scientists, including the (late) physicist Stephen Hawking, have warned that super-intelligent, AI-powered computers could harbor and achieve goals that conflict with human life. "You're probably not an evil ant-hater who steps on ants out of malice, but if you're in charge of a hydroelectric green-energy project, and there's an anthill in the region to be flooded, too bad for the ants," Hawking once said.

Google's foundational model BERT powers the search engine used by billions across the world. OpenAI's GPT-3 is a powerful language model that has forayed into downstream tasks such as building low code platforms. In the era of such large scale foundational models that directly impact many real-world applications, what are the risks that tag along? To answer this, the entire AI department at Stanford University has released a survey. In this report, the researchers have provided a thorough account of the opportunities and risks of foundation models, their capabilities, applications, and societal impact.

U.S. technology companies are converging on Taiwan to build regional research and development centers, drawn by the island's relatively low wages and the government's strategy of forging closer ties with Washington. IBM and Oath, the parent company of Yahoo, have all announced plans this year to build their research and development hubs on the island and to initiate large recruitment projects. "The approach of President Tsai Ing-wen's government to shift away from China and forge closer ties with the U.S. is a strong push behind many U.S. companies' investments over the past one year," said Gordon Sun, director of the Economic Forecasting Center at the Taiwan Institute of Economic Research. Attracting investments from U.S. tech companies is part of the government's plans to build an artificial intelligence industry. Taiwan has pledged to pour 10 billion New Taiwan dollars ($326 million) each year into AI-related investments over the next three years.

We live in unprecedented times, where, unfortunately, increasingly things are not what they seem to be or what they should be. We have only been in this situation for less than 18 months, but it is rapidly affecting our lives on a daily basis. I am talking about fake news and how it has become one of the greatest threats to democracy, free debate and capitalism. Unfortunately, for many, fake news is not a problem at all. It is even Trump's favourite topic.

Deals between web browser suppliers and search engine providers are big business. For Mozilla, agreements with search engines have brought in as much as US$300 million a year, which accounts for 90 percent of its income. So the stakes are high amid the latest tech company quarrel, which sees Mozilla end its partnership with Yahoo due to claims it hadn't been paid. Neither party is happy with the situation, so they're suing each other. Back in 2014 Mozilla and Yahoo struck a deal that would see Yahoo act as the default search engine in Firefox through 2019.

Today, Oath, the Verizon-owned company born of the merger between AOL and Yahoo, released the source code of a data-crunching tool called Vespa, which has long-powered search and other features across the Yahoo empire. Yahoo also uses Vespa to power related-article recommendations and ad-targeting on many Yahoo-branded sites, including Yahoo News, Yahoo Sports, Yahoo Finance, and its advertising network. Don't Laugh: Yahoo's Open Source AI Has a Secret Weapon Vespa's history traces back to the Norwegian search engine AlltheWeb, which Yahoo acquired in 2004. By making Vespa open source, Oath VP of engineering for big data Peter Cnudde says the company hopes to replicate the benefits it has reaped from supporting Hadoop, an open-source software framework for managing big data.

Innovative technologies like artificial intelligence (AI) have been dubbed either the biggest existential threat ever or the savior of humanity. Both dramatizations miss the point. Technology disruption is as old as human history. Equally old is our negative reaction to that change. Detractors warn of a singularity event where a runaway intelligence could threaten humanity.