As the artificial intelligence (AI) technology continues to advance, it is likely that it will begin to reduce employment for college-educated workers in the next five years. According to experts, ChatGPT, a generative AI tool released by OpenAI, is just one of many tools that have the potential to cause mass job loss among highly educated workers. ChatGPT, which stands for "Chat Generative Pre-trained Transformer," is an AI content creator that can generate text quickly and cheaply. The technology has already been used by students to help them write essays, businesses to create copy for their websites and promotional materials, and even lawyers to produce legal briefs. However, as the technology becomes more advanced, it may also put copywriters, journalists, customer-service agents, paralegals, coders, and digital marketers out of a job. According to an Oxford study, as much as 47% of U.S. jobs may be at risk due to the advancements in AI technology.

Whether computers can actually "think" and "feel" is a question that has long fascinated society. Alan M. Turing introduced a test for gauging machine intelligence as early as 1950. Movies such as 2001: A Space Odyssey and Star Wars have only served to fuel these thoughts, but while the concept was once confined to science fiction, it is rapidly emerging as a serious topic of discussion. In a few cases, the dialog has become so convincing that people have deemed machines sentient. A recent example involves former Google data scientist Blake Lemoine, who published human-to-machine discussions with an AI system called LaMDA.a

It's true there has been progress around data protection in the U.S. thanks to the passing of several laws, such as the California Consumer Privacy Act (CCPA), and nonbinding documents, such as the Blueprint for an AI Bill of Rights. Yet, there currently aren't any standard regulations that dictate how technology companies should mitigate AI bias and discrimination. As a result, many companies are falling behind in building ethical, privacy-first tools. Nearly 80% of data scientists in the U.S. are male and 66% are white, which shows an inherent lack of diversity and demographic representation in the development of automated decision-making tools, often leading to skewed data results. Significant improvements in design review processes are needed to ensure technology companies take all people into account when creating and modifying their products.

ARTIFICIAL Intelligence is breaking a new frontier, with a company teasing that their robot will be playing an important part in a trial in court. The AI robot will be the first to advise a defendant in a court of law. The news was shared by the publication New Scientist, which explained that the AI would be in the defendant's phone. The robot would listen in on court proceedings and would then advise the defendant through an earpiece. The AI was developed by a company called DoNotPay, which describes itself as "The World's First Robot Lawyer."

With the advent of deep learning, text generation language models have improved dramatically, with text at a similar level as human-written text. This can lead to rampant misinformation because content can now be created cheaply and distributed quickly. Automated claim verification methods exist to validate claims, but they lack foundational data and often use mainstream news as evidence sources that are strongly biased towards a specific agenda. Current claim verification methods use deep neural network models and complex algorithms for a high classification accuracy but it is at the expense of model explainability. The models are black-boxes and their decision-making process and the steps it took to arrive at a final prediction are obfuscated from the user. We introduce a novel claim verification approach, namely: ExClaim, that attempts to provide an explainable claim verification system with foundational evidence. Inspired by the legal system, ExClaim leverages rationalization to provide a verdict for the claim and justifies the verdict through a natural language explanation (rationale) to describe the model's decision-making process. ExClaim treats the verdict classification task as a question-answer problem and achieves a performance of 0.93 F1 score. It provides subtasks explanations to also justify the intermediate outcomes. Statistical and Explainable AI (XAI) evaluations are conducted to ensure valid and trustworthy outcomes. Ensuring claim verification systems are assured, rational, and explainable is an essential step toward improving Human-AI trust and the accessibility of black-box systems.

Clause recommendation is the problem of recommending a clause to a legal contract, given the context of the contract in question and the clause type to which the clause should belong. With not much prior work being done toward the generation of legal contracts, this problem was proposed as a first step toward the bigger problem of contract generation. As an open-ended text generation problem, the distinguishing characteristics of this problem lie in the nature of legal language as a sublanguage and the considerable similarity of textual content within the clauses of a specific type. This similarity aspect in legal clauses drives us to investigate the importance of similar contracts' representation for recommending clauses. In our work, we experiment with generating clauses for 15 commonly occurring clause types in contracts expanding upon the previous work on this problem and analyzing clause recommendations in varying settings using information derived from similar contracts.

We can easily drown in water. But it has no intent. And the challenge that humans face when it comes to water is learning to swim, building boats and dams, and finding ways to wield its power. "You can make two images, and it's cool, but you make 100,000 images, and you have an actual physical sensation of drowning," says Holz in an interview with Fortune. "So we are trying to figure out how do you teach people to swim? And how do you build these boats that let them navigate and be empowered and sort of sail the ocean of imagination, instead of just drowning?"

The launch of ChatGPT, an artificial intelligence chatbot, late last year marked a new era in AI - and sparked widespread fears over the effect of artificial intelligence on the job market. Its abilities to write poems, screenplays, take exams and simulate entire chat rooms have led some to suggest it could rapidly take over jobs in customer service, copywriting and even the legal profession. Microsoft invested $10 billion in ChatGPT and said that the technology will change how people interact with computers. 'I believe that ChatGPT could replace 20 percent of the workforce as is,' AI expert Richard DeVere, Head of Social Engineering for Ultima, told DailyMail.com. 'ChatGPT is no fad – it's a new technological revolution.

Who is DigitalOnUs by Tech Mahindra? At DigitalOnUs by Tech Mahindra, we not only provide Agile and DevOps methodologies to our customers, we have adopted the same within the company as well. Our nimble processes are not mired in red tape, yet robust, flexible and result-oriented. We are Software Engineers, Technical Architects, Cloud and DevOps specialists. But the most important, we are dreamers, creators and challengers.

Automatically generated comments aren't a new problem. For some time, we have struggled with bots, machines that automatically post content. Five years ago, at least a million automatically drafted comments were believed to have been submitted to the Federal Communications Commission regarding proposed regulations on net neutrality. In 2019, a Harvard undergraduate, as a test, used a text-generation program to submit 1,001 comments in response to a government request for public input on a Medicaid issue. Back then, submitting comments was just a game of overwhelming numbers.