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Alan Turing's "imitation game" from 1950 has led to various adaptations for evaluating machine intelligence across different fields. This article explores the broader "human-or-machine issue," examining how interactions with machines mimicking humans could impact social, psychological, functional, and technical aspects of life. It questions whether people will care if they're interacting with a machine or a human, how behavior might change in such interactions, and how language and social practices might evolve. The article also highlights potential benefits in human-computer interaction design, trust-building, emotional management, and machine collaboration protocols stemming from a deeper understanding of these dynamics.

This article reviews how computer vision, machine learning and artificial intelligence (AI) have already contributed to the study of fine arts as well as ongoing problems in art analysis with these techniques. The article begins with the contributions, including resolving art history debates. Then the article delves into areas in art that make AI research difficult including the development of artistic works in multiple layers, small datasets, and the lack of a uniform definition of style in fine art.

The article focuses on the necessity of regulating artificial intelligence (AI) to mitigate potential risks and ensure its safe and ethical use. It reports the introduction of bills like the Artificial Intelligence Accountability Act and it highlights the U.S. White House's executive order on AI regulation. It also mentions concerns about the rapid growth of AI contributing to disinformation in electoral cycles and the legal complexities surrounding AI regulation.

The article focuses on Congress's considerations on artificial intelligence (AI), including its history, recent advancements like Generative AI, and potential risks. It highlights the widespread use of GenAI models like Chat Generative Pre-trained Transformer (ChatGPT), prompting discussions on regulation, oversight mechanisms, and the federal government's role in supporting AI research and development.

The article focuses on the emergence of generative artificial intelligence (AI), particularly its potential risks and policy considerations, including privacy concerns, misinformation, and copyright issues. It reports that generative AI encompasses various technologies capable of producing new content, such as text, images, and videos, through learning patterns from existing data, raising challenges for Congress regarding data privacy legislation.

Artificial intelligence (AI) is making significant advancements in the field of mathematics, raising questions about the potential for AI to achieve human-level reasoning and even artificial general intelligence (AGI). AI systems have demonstrated the ability to solve complex geometry problems, assist with proofs, and generate new avenues of attack for long-standing mathematical problems. By using machine learning algorithms and neural networks, AI can spot patterns in complex datasets and make predictions that human mathematicians may not have considered. Additionally, the formalization of mathematical proofs and the use of AI to check and generate proofs could further enhance AI's mathematical capabilities. While some mathematicians remain skeptical about the possibility of AI achieving true mathematical creativity, others believe that AI's progress in mathematics could be a significant step towards AGI. However, the development of a superhuman AI mathematician by 2026, as some experts suggest, remains uncertain. [Extracted from the article]

The article offers an opinion regarding how a human-artificial intelligence (AI) collaboration can asses relevance. Topics include the improvements to large language models (LLMs) such as OpenAI's chatbot ChatGPT, the reasons why utilizing only LLMs can be problematic, and how human judgement can improve fairness, efficiency, and effectiveness.

This research article focuses on the science of detecting large language model (LLM) generated text. The authors discuss the advancement of natural language generation (NLG) technology, including OpenAI's ChatGPT, and explain how the two detection methods, black-box detection and white-box detection, work to mitigate the potential misuse of LLMs.

This article explores the concept of artificial general intelligence (AGI) and the limitations of current AI systems. It discusses the idea of modularity in AI systems and the potential role of consciousness in intelligence. The article suggests that current AI systems could benefit from a more selective attention mechanism and discusses the concept of a global workspace in AI systems. Various approaches to implementing a global workspace are proposed, and the article highlights the value of studying the brain's mechanisms for developing more intelligent AI. [Extracted from the article]

This article explores the strange and bizarre theories surrounding fundamental reality, such as parallel universes, consciousness as a property of matter, and the idea that reality is a computer simulation. The author argues that while these ideas may seem preposterous, they are advocated for by leading scientists and philosophers. The article discusses the weirdness and dubiety of these theories, particularly in relation to interpretations of quantum mechanics and the nature of consciousness. It concludes that while we may never know the definitive answers to these questions, we can appreciate the diversity of possibilities and the wonder of the world. [Extracted from the article]

This article explores disinformation as a threat to cybersecurity. Topics include an overview of disinformation, with a detailed look at disinformation 2.0 which utilizes artificial intelligence for more personalized and targeted false information, and a layered approach to countermeasures against disinformation 2.0.

This article investigates artificial intelligence (AI) fairness in decision-making specifically examining the limitations of this process. The article discusses eight inherent limitations in AI fairness including lack of fairness in human decision-making used to train the AI model, lack of a universal fairness definition, and limited power over the complete decision-making process.

Fallout from an exploding bubble of hype triggered the real AI Winter in the late 1980s. [ABSTRACT FROM AUTHOR]

Why ethics is not enough. [ABSTRACT FROM AUTHOR]

The paper discusses algorithmic priority inversion in mission-critical machine inference pipelines used in modern neural-network-based perception subsystems and describes a solution to mitigate its effect. In general, priority inversion occurs in computing systems when computations that are "less important" are performed together with or ahead of those that are "more important." Significant priority inversion occurs in existing machine inference pipelines when they do not differentiate between critical and less critical data. We describe a framework to resolve this problem and demonstrate that it improves a perception system's ability to react to critical inputs, while at the same time reducing platform cost. [ABSTRACT FROM AUTHOR]

The article presents the discussion on TikTok is a globally popular video-sharing smartphone application. Topics include app builds this feed through a "recommendation engine" that uses artificial intelligence (AI) technologies and data mining practices; and administration is still considering options to curtail TikTok's ability to operate in the US.

The article discusses the concept of basal cognition, which suggests that intelligence and cognitive abilities can exist in organisms without brains. It explores the research of Michael Levin, a biologist at Tufts University, who has been studying the role of bioelectricity in cellular communication and coordination. Levin's experiments with planaria worms and African clawed frogs have shown that changes in voltage can affect cell behavior and development, including regeneration and body shape control. The article challenges the idea that true cognition is exclusive to humans and suggests that intelligence may be more widespread in the natural world. This research has potential implications for understanding the evolution of cognition and could have applications in cancer therapy, organ regeneration, and artificial intelligence. [Extracted from the article]

Young Americans are coming of age immersed in daily news and controversy about rising perils like climate change, and emerging ones like artificial intelligence. Generation Z has produced and embraced movements for climate action like the school strikes led by Greta Thunberg that connect to other social justice movements. But the threat posed by nuclear weapons remains a disconnected abstraction to many young people, even as tensions between nuclear-armed states over conflicts like the invasions of Ukraine and Gaza renew fears of a nuclear confrontation that were more common decades ago. In this personal essay, a life-long opponent of nuclear weapons raised during the Cold War reflects on intergenerational lessons about activism, and teaching college students to embrace their curiosity, and their fear, on the way to saving the world. [ABSTRACT FROM AUTHOR]

Sneha Revanur, a college sophomore, founded the organization Encode Justice at the age of 15 to address the harmful implications of artificial intelligence (AI). The organization now has 900 young members in 30 countries and focuses on issues such as biased AI algorithms in the justice system, facial recognition technology, surveillance, privacy, and democratic erosion. Revanur and her peers have been involved in legislative efforts, written op-eds, and successfully defeated a state ballot initiative. Encode Justice aims to reimagine technology and build justice into AI systems from the beginning, while also preparing for potential catastrophic harms from AI. [Extracted from the article]

The article looks at the use of large language models to carry out natural language understanding (NLU) tasks. It suggests that the shortcut learning common to existing large language models based on machine learning limits how robust their performance can be because they are overly dependent on spurious correlations and incidental relationships. It discusses possible approaches to overcoming this problem in the future development of large language models.

This article discusses the emotional, legal and ethical impact of ghostbots, avatars of deceased individuals created with artificial intelligence. Also a brief look at how some companies, including an ancestry company MyHeritage and website Character.ai, are incorporating ghostbots into their business.

The article discusses U.S. President Joe Biden's executive order on October 30, 2023, aimed at promoting artificial intelligence (AI) adoption and addressing its challenges. It reports new standards for AI safety, privacy protection, equity promotion, innovation, and international leadership. It emphasizes collaboration with allies to establish a robust international framework for AI development and usage.

The article offers information on how various governments are setting limits on artificial intelligence (AI). The author discusses the European Union Artificial Intelligence Act, the executive order (EO) signed by U.S. President Joe Biden that mandates that developers of AI that could pose risks to share results of safety tests, and Canada's Voluntary Code of Conduct on the Responsible Development and Management of Advanced Generative AI Systems.

Sam Altman, the CEO of OpenAI, was fired and then reinstated by the company's board of directors, causing controversy and raising questions about his leadership and transparency. OpenAI, a nonprofit AI lab, was founded with the goal of creating artificial general intelligence (AGI) for the benefit of humanity. However, financial troubles led to a restructuring and a shift in the company's approach to releasing its technology. Concerns have been raised about OpenAI's departure from its original mission, and Altman's firing led to employee backlash and negotiations for his reinstatement. The company will now undergo an overhaul and an investigation into Altman's conduct. [Extracted from the article]

This article discusses the evolution of the internet from its early days of user-driven content creation to the current era of algorithmic control and monopoly platforms. It highlights the shift from Web 1.0, where users had more control and personalization options, to Web 2.0, which prioritizes pre-made profiles and user-generated content. The article also explores the negative consequences of this shift, such as the pressure to constantly produce content for social media platforms and the exploitation of user data by corporations. It mentions the rise of artificial intelligence and the consolidation of power among tech giants. The article concludes by questioning the future of the internet and the possibility of decentralization and human-centered relationships. [Extracted from the article]

Artificial intelligence (AI) may need to interact with the physical world in order to reach its full potential, according to roboticist Josh Bongard. Bongard argues that embodied cognition, which recognizes the influence of the body on thinking and learning, is crucial for building truly intelligent machines. He suggests that integrating AI with robotics and giving AI a physical body could lead to significant advancements in the field. Bongard also explores the use of evolutionary robotics and living materials in creating intelligent machines. [Extracted from the article]

The article discusses Explainable artificial intelligence (XAI) and the expectation of artificial intelligence (AI) end users to understand how AI works, including how algorithmic decision making occurs. An overview of AI end users' desire for information on AI methodology on reaching decisions, including in regard to the ethical nature of AI, is provided.

The article discusses the search for signs of life in the atmospheres of other planets, focusing on the detection of molecules known as "biosignatures." While the detection of these molecules can be exciting, it is important to exercise caution and not jump to conclusions about the presence of extraterrestrial life. The article explains the methods used to detect biosignatures and discusses the limitations and challenges associated with this approach. It also explores the potential for using artificial intelligence and measuring molecular complexity as alternative methods for identifying signs of life. Ultimately, the article emphasizes the need for further research and careful analysis before definitive proof of extraterrestrial life can be established. [Extracted from the article]

The article explores the rise of "grief tech," which refers to the use of artificial intelligence (AI) to create digital avatars or chatbots of deceased loved ones. While these technologies offer the possibility of maintaining a connection with the deceased, there are concerns about how they may interfere with the grieving process. Psychological models of grief suggest that attachment to the deceased should gradually ease over time, but grief tech apps could potentially reinforce and prolong this attachment. Additionally, prolonged grief can affect the brain's wiring and attention control system, and digital avatars may amplify the desire for a lost loved one. While some people find comfort in these technologies, there are concerns about their potential negative effects on the grieving process. The author shares their personal experience with a grief tech app and concludes that they are content with traditional photos and accepting the reality of death. [Extracted from the article]

The Musk Factor Business At a conference in 2012, Elon Musk met Demis Hassabis, the video-game designer and artificial-intelligence researcher who had co-founded a company named DeepMind that sought to design computers that could learn how to think like humans. Musk's determination to develop artificial-intelligence capabilities at his own companies caused a break with OpenAI in 2018. Musk worried that these chatbots and AI systems, especially in the hands of Microsoft and Google, could become politically indoctrinated, perhaps even infected by what he called the woke-mind virus. Musk concluded that the council was basically bullsh-t. So Musk began hosting his own series of dinner discussions on ways to counter Google and promote AI safety. [Extracted from the article]

This article offers clarity of the concept of low-code programming by exploring visual programming languages, programming by demonstration, and programming by natural language. Artificial intelligence, domain-specific languages, and model-view-controller pattern in low-code programming are also discussed.

This article presents a framework and research agenda for neural rendering for realistic faces on digital humans. The article starts with an introduction to traditional digital face generating methods with computer graphics then details the use of neural rendering. Topics include applications for neural rendering including face swapping and language translation as well as a conceptual framework that takes source, target, controller, and intent into consideration.

This article investigates the creation of a conversational interface framework, in development at Semantic Machines, with the intent of expanding the usage of conversational interfaces. The article starts with a historical look at conversational agents including Terry Winograd’s SHRDLU and then goes on to describe the new framework with a look at utterances, also called plans, as well as constraints and revision.

Elodie F. Briefer, an associate professor in animal behavior at the University of Copenhagen, has shown that it's possible to assess animals' emotional states based on their vocalizations. Beyond creating chatbots that woo people and producing art that wins fine-arts competitions, machine learning may soon make it possible to decipher things like crow calls, says Aza Raskin, one of the founders of the nonprofit Earth Species Project. Soon "we'll be able to pass the finch, crow or whale Turing test", Raskin asserts, referring to the point at which the animals won't be able to tell they are conversing with a machine rather than one of their own. [Extracted from the article]

In the article, the author discusses the impacts of artificial intelligence (AI) to society. Also cited are the features of AI like its ability to do cognitive functions associated with the human mind such as reasoning, learning, and problem solving, the fascination of people with chatbots and image generator applications (app), and the comment by scientist Ray Kurzweil on AI as cited in his book "The Age of Spiritual Machines: When Computers Exceed Human Intelligence."