Global News One

Category: Artificial Intelligence

  • Apple’s job listings suggest it plans to infuse AI(Artificial Intelligence) in multiple products..

    Apple seems to be finally getting serious about infusing generative AI into its products — both internal and external — after announcing a solitary “Transformer” model-based autocorrect feature on iOS 17 earlier this year.

    Nevertheless, an idea emerges that Apple seems to be getting serious about generative AI integration within its devices as part of and without iOS 17 after launching of a single iOS version 17 with autocorrect feature based on a Transformer model earlier this year.

    In fact, the organization has issued jobs on a daily basis in the recent days due to its concerns about generalized artificial intelligence. For instance, in its statement of a role on the Apple store platform it states that the company is developing a generative AI based developer service tool for internal use which will assist its app development team.

    Image Credits: Haje Kamps / MidJourney

    A conversational AI platform (voice and chat) job task that will relate with customers in Apple Retail is stated in the job advertisement. Apple’s job advertisements include task of text-generation, long-form; summarization; question answering.

    Other companies also work on build core models and give this way a human-like conversational agent as the example of core build models. Once again, the firm has posted vacancies at Siri Information Intel unit, which covers among others Siri Search widget and so on. In addition, apple aims at finding partner from among developing localised models for device-based operation developers.

    However, this time round, Apple has been a lot clear in giving their word on who they want.

    According to the Bloomberg news, Apple will be spending over one billion dollars annually on advertising services and AI supported devices. “Really a pretty big miss”, says a source close to it to the Wall Street Journal.

    Still, there seem signs of seriousness in taking generative AI to the company’s internal product and external services, for example, after singular Transformer mode-based auto correction tool introduced in iOS 17 back on the start of a new year.

    In fact, this company posts job openings almost every week saying that for some reason generative AI needs people. For instance, in its statement of a role on the App Store platform, the organization states that they are currently developing a generative AI-based developer experience platform for internal use and that this will assist its app developers.

    Amongst other roles a conversational AI platform (voice and chat) Apple Retail should interact customers as stated in the job posting. Apple job listings refer to long-form text-generation as a task, summarization, and question answering.

    Other jobs in AI/ML consider they are creating fundamental designs and offer as an example of developing fundamental designs a “human-like conversational agent”. Again, the company has advertised for vacancies in fields including Siri informational intelligence that involves Siri and search widgets amongst others. Moreover, apple wants to partner with these builders building a mode of operation on device based localised model.

    Unlike in their previous advertising campaigns where they were not this explicit when listing people whom they wanted to reach out to, this time around, Apple has been crystal clear of who they wish to cater to.

    As per Bloomberg News, Apple is also planning to spend over a billion dollar annually in advertisement for promoting its AI products or services. As quoted by Wall Street Journal, a source close to it said that, “it’s quite a big miss not to ship generative AI products”.

    According to Bloomberg, the company intends to utilize LLMs to drive features such as sentence completion on the latest version of iOS targeted at powering Siri and Messages application. The report revealed that Apple is looking into incorporating generative AI -powered enhancements in apps and services like Xcode to assist developers as seen by the job posting above possibly. Additionally, it revealed AI-generated playlists for Apple Music, and AI -assisted writing for Pages and Ke

    Several news stories indicate that Apple is working on an internal project dubbed “Apple GPT.” Nonetheless, except in its operating system, very little has been released for end users so far. In contrast however, their competitors like meta, Google, and Microsoft are integrating AI across several hardware.

    As for the coming versions of iOS, according to Bloomberg, it is reported that the goal of the company is to draw upon large language models (LLMs) to empower such functions as sentence completion for the company’s virtual assistants such as Siri or the messages app. On this regard, the report noted that apple is developing generative ai assisted features in applications and services such as xcode which helps developer (this position above could be one of them) , ai generated music tracks on Apple music, and ai assisted writing for pages and keynote.

    Reports indicate that Apple may develop ‘Apple GPT’, and as of now, no such consumer product has been developed in this regard. However, Cupertino-based rivals of Apple like Google, Microsoft, and Meta have included their AI-powered features in different types of software and

  • The Dark Side of AI: Understanding the Potential Dangers…

    Artificial Intelligence (AI) has made significant advancements in recent years, transforming various industries and revolutionizing the way we live and work. From virtual assistants to autonomous vehicles, AI has undoubtedly improved efficiency and convenience in many aspects of our lives. However, amidst the remarkable progress, we must also analyze and understand the potential dangers that AI poses. In this article, we will explore some of the ethical concerns, privacy risks, job displacement, and issues of bias and discrimination associated with AI technology.

    As AI becomes increasingly capable of making independent decisions, ethical concerns arise regarding the use and deployment of such technology. One major concern is the potential for AI to be weaponized or used for malicious purposes. For example, autonomous drones equipped with AI algorithms could be used to carry out targeted attacks or surveillance, raising concerns about the lack of human control and accountability.

    Additionally, AI algorithms can amplify existing social biases, leading to unethical decisions and actions. Biased training data or biased algorithm designs can result in discriminatory outcomes, particularly in areas such as criminal justice, hiring processes, and financial lending. The responsibility lies with developers and policymakers to ensure fairness and transparency in AI systems.

    The widespread adoption of AI often involves collecting vast amounts of personal data. This data can range from personal preferences and browsing habits to highly sensitive information. Privacy risks arise when this data is exploited or mishandled.

    AI algorithms rely on massive datasets to make accurate predictions or decisions. While data anonymization techniques are typically employed, there is always a potential risk of re-identification. If an individual’s identity can be linked to their data, it can be used for targeted advertising, manipulation, or even identity theft. The increasing integration of AI into everyday devices and services further amplifies the potential privacy risks, emphasizing the need for robust data protection and privacy regulations.

    One of the major concerns regarding AI is its impact on the labor market. As AI technologies continue to advance, there is a fear that automation will lead to significant job displacement across various industries.

    Tasks that were once performed by humans can now increasingly be handled by AI-powered systems. Jobs in sectors such as manufacturing, transportation, and customer service are already witnessing the effects of automation. While new jobs may be created in AI development and maintenance, the transition period can be challenging for those whose jobs are at risk of being replaced.

    Efforts to address job displacement involve upskilling and reskilling programs to equip individuals with the skills needed for the jobs of the future. Furthermore, policymakers must consider measures such as universal basic income to support individuals who may find it difficult to adapt to the changing job landscape.

    AI algorithms are trained on historical data, which often reflects the biases and prejudices present in society. Consequently, AI systems can perpetuate and even amplify these biases, leading to discriminatory outcomes.

    One prominent example is the use of AI in predictive policing. If historical crime data is biased against certain demographic groups, the AI system will learn and reinforce these biases, leading to racial profiling and unjust outcomes. Similarly, biased algorithms in hiring processes can result in discrimination against certain individuals or groups.

    Addressing bias and discrimination in AI systems requires careful attention to the data used for training and the design of the algorithms. Regular audits, diversity in AI development teams, and input from affected communities are crucial in mitigating these issues and ensuring fairness in decision-making processes.

    Conclusion:-

    While AI has immense potential for positive impact, it is essential to acknowledge and address the potential risks and dangers it brings. Ethical concerns, privacy risks, job displacement, and issues of bias and discrimination are key areas that require continual evaluation and regulation to ensure the responsible development and deployment of AI systems. By understanding and actively working to mitigate these risks, we can harness the benefits of AI while safeguarding against its darker implications.

  • Digital Revolution: Technology, Power, & You

    Digital Revolution: Technology, Power, & You

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    The digital revolution has transformed the way we go about our daily lives, how we earn a living, and how we communicate with one another. And it’s just the beginning of this remarkable journey. However, while these technologies have the potential to enhance the well-being and productivity of billions of individuals, they also bring forth new hurdles for people and governments across the globe. Recent incidents, ranging from interference in elections to data breaches and cyberattacks, have underscored the profound ways in which technology is reshaping our notions of privacy, national security, and even the very foundations of democracy.

    In this project, we delve into challenges across five critical domains that will define the future of the digital era: the justice system, its impact on democracy, global security and international conflicts, the effects of automation and artificial intelligence on the job market, as well as issues surrounding identity and privacy. We invite you to explore thought-provoking topics that shed light on how technology is influencing our lives.