Conversational agents (CA s) based on generative artificial intelligence frequently face challenges ensuring ethical interactions that align with human values. Current value alignment efforts largely rely on top - down approaches, such as technical guidelines or legal value principles. However, these methods tend to be disconnec ted from the specific contexts in which CAs operate, potentially leading to misalignment with users' interests. To address this challenge, we propose a novel, bottom - up approach to value alignment, utilizing the value ontology of the ISO Value - Based Engine ering standard for ethical IT design. We analyse 593 ethically sensitive system outputs identified from 16,908 conversational logs of a major European employment service CA to identify core values and instances of value misalignment within real - world inter actions. The results revealed nine core values and 32 different value misalignments that negatively impacted users. Our findings provide actionable insights for CA providers seeking to address ethical challenges and achieve more context - sensitive value ali gnment.

Scarlett Johansson is speaking out about the reasons she turned down the job of voicing OpenAI's chatbot. Last year, OpenAI CEO Sam Altman reached out to the 39-year-old actress about potentially hiring her to voice the ChatGPT 4.0 system. In an interview with The New York Times, Johansson, who voiced the character of Samantha, an artificial intelligence virtual assistant in the 2013 film "Her," recalled that she said, "No, thank you. Not for me," when Altman approached her about the gig. "I felt I did not want to be at the forefront of that," Johansson told the Times.

A group called Future of Life Institute has circulated a petition, signed by nearly 3,000 people in and around the technology industry, calling for a six-month moratorium on large scale experiments with artificial intelligence (AI). The petition has triggered a huge debate. Those who have signed the petition note that developers of GPT-4 and other large language model AIs promise that their technology will change the course of civilization, but claims they have not taken appropriate steps to protect civilization from harm. Those who oppose the petition fall into two large buckets: those who are comfortable with the status quo of rapidly developing AI models and those who believe the petition sponsors are so focused on the future that they ignore widespread harms from existing applications of AI. The latter argument is particularly interesting, as the group includes leading technologists and scholars in the AI field, including Timnit Gebru, Emily Bender, and Margaret Mitchell.

ChatGPT, the powerful new artificial intelligence tool from OpenAI that can answer questions, chat with humans, and generate text, has dominated headlines in the past few months. The tool is advanced enough to pass law school exams (though with fairly low scores), but it has also veered into strange conversations and has shared misinformation. It also highlights an important area that companies using or thinking about using AI need to confront: how to embrace AI in a way that doesn't harm humans. "Leadership involves absolutely centering the human and being rigorous before releasing into the wild things that affect these humans," saidRenée Richardson Gosline, a senior lecturer and principal research scientist at MIT Sloan. "Having the courage and ethics to say we want to cultivate a system and a relationship with our customers whereby we don't simply always extract, but we also share value -- that's what leads to loyalty in the long term."

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Everyone in computing is promoting ethics these days. The Vatican has issued the Rome Call for AI Ethics, which has been endorsed by many organizations, including tech companies. Facebook (now Meta) has donated millions of U.S. dollars to establish a new Institute for Ethics in Artificial Intelligence at the Technical University of Munich, since "ensuring the responsible and thoughtful use of AI is foundational to everything we do."a Google announced it "is committed to making progress in the responsible development of AI."b And last, but not least, ACM now requires nominators and endorsers of ACM award candidates attest that "To the best of my knowledge, the candidate … has not committed any action that violates the ACM Code of Ethics and ACM's Core Values."

The Transform Technology Summits start October 13th with Low-Code/No Code: Enabling Enterprise Agility. Artificial intelligence (AI) technologies offer profoundly important strategic benefits and hazards for global businesses and government agencies. One of AI's greatest strengths is its ability to engage in behavior typically associated with human intelligence -- such as learning, planning, and problem solving. AI, however, also brings new risks to organizations and individuals, and manifests those risks in perplexing ways. It is inevitable that AI will soon face increased regulation.

Collectively, we've moved from the telegraph, to the telephone, to the handheld cell phone, in less than 200 years. Since its inception, telecommunications has been the backbone of business around the world. As business and technology advances, telecommunications and communication service providers need to advance with it. This is not without the support of a multitude of startups offering new solutions. B-Yond is one of these startups, bringing modern-day solutions to communication service providers through artificial intelligence.

Abstract--The framework for Simulation of Human and Artificial Emotion (SHArE) describes the architecture of emotion in terms of parameters transferable between psychology, neuroscience, and artificial intelligence. These parameters can be defined as abstract concepts or granularized down to the voltage levels of individual neurons. This model enables emotional trajectory design for humans which may lead to novel therapeutic solutions for various mental health concerns. For artificial intelligence, this work provides a compact notation which can be applied to neural networks as a means to observe the emotions and motivations of machines. The agent's processing system in a given environment.