{"id":1948,"date":"2024-04-15T13:55:30","date_gmt":"2024-04-15T13:55:30","guid":{"rendered":"https:\/\/www.iaparabibliotecas.com\/?p=1948"},"modified":"2024-04-15T13:55:31","modified_gmt":"2024-04-15T13:55:31","slug":"convivir-con-la-ia-en-2024-hora-de-pasar-a-la-accion","status":"publish","type":"post","link":"https:\/\/www.iaparabibliotecas.com\/en\/convivir-con-la-ia-en-2024-hora-de-pasar-a-la-accion\/","title":{"rendered":"Living with AI in 2024: time to take action"},"content":{"rendered":"

Just over a year after an information overload (almost always exaggerated and misinformed) surrounding Artificial Intelligence, or AI, it's time to move from conversation to implementation. Countless opportunities already exist to train in basic skills for free, so now is the time to put them into practice.<\/p>\n\n\n\n

If you're not yet familiar with the fundamentals of AI, simply browse Coursera, edX, or Platzi to find free courses that will help you understand the general context. There are even specialized curricula for specific areas of knowledge, such as our "Introduction to Artificial Intelligence for Librarians," which remains available, free, and open to everyone. www.iaparabibliotecas.com<\/a> (with an initial session suitable for any profession and academic level<\/strong>).<\/p>\n\n\n\n

\nhttps:\/\/www.linkedin.com\/embeds\/publishingEmbed.html?articleId=8785127153430868241&li_theme=light\n<\/div><\/figure>\n\n\n\n

In this article, we'll take a quick look at AI in 2023, along with what 2024 has in store, to help us propose some key dynamics for its implementation. Welcome to AI: This is what intelligence looks like!<\/p>\n\n\n\n

2023: Awakening from the shadows of Generative AI<\/h2>\n\n\n\n

2023 was pivotal for Artificial Intelligence (AI), marking a year of significant transformation and rapid advancements. The integration of Generative AI (GenAI) into various business functions signals a shift towards More innovative and efficient operations, although with emerging challenges related to accuracy, cybersecurity and regulatory compliance<\/strong>. Leading organizations (OpenAI\/Microsoft, Anthropic\/Amazon, Google, Meta, ElevenLabs, Runway ML, Stability, Perplexity, etc.) are leveraging AI not only to help reduce costs, but also as a fundamental component of product and service development, emphasizing the creation of new businesses and enhancing the value of existing offerings. These entities are investing significantly in AI, integrating it into multiple business functions, demonstrating the strategic importance of AI in driving competitive advantage and operational excellence. (https:\/\/www.mckinsey.com\/capabilities\/quantumblack\/our-insights\/the-state-of-ai-in-2023-generative-AIs-breakout-year<\/a>).<\/p>\n\n\n\n

\"\"\/
Some of the AIs in the ranking available in<\/figcaption><\/figure>\n\n\n\n

The GPT-4 presentation underscored the paramount role of computing power, comparing it to the new oil fueling the rapid evolution of AI. However, There is growing concern about the energy consumption and carbon emissions resulting from training massive models<\/strong> (https:\/\/www.stateof.ai\/<\/a>).<\/p>\n\n\n\n

He Hype Cycle<\/em> Gartner's 2023 AI Outlook identifies generative AI and decision intelligence as innovations poised for widespread adoption in the coming years. This reflects AI's potential to revolutionize businesses if deployed responsibly and effectively. (https:\/\/www.gartner.com\/en\/articles\/what-s-new-in-artificial-intelligence-from-the-2023-gartner-hype-cycle<\/a>).<\/p>\n\n\n\n

\"\"\/<\/a>
According to Gartner, the overscaling cycle for Generative AI is over, and this year we should see real-world applications across various industries. Learn more at<\/figcaption><\/figure>\n\n\n\n

From accelerating scientific discoveries to raising ethical dilemmas, AI shows its double edge.<\/strong> AI has become a powerful tool for advancement and a subject of debate regarding its implications for society. With AI models contributing to major scientific and technological breakthroughs, the discourse surrounding impartiality, bias, and ethics is gaining prominence, reflecting the complex interplay between technological innovation and social norms. (https:\/\/aiindex.stanford.edu\/report\/<\/a>).<\/p>\n\n\n\n

2024: Navigating Uncertainty in the Age of AI<\/h2>\n\n\n\n

In recent weeks we have seen the emergence of tools that continue to challenge our ability to discern between the real and the digitally generated, such as OpenAI's Sora video creator (https:\/\/openai.com\/sora<\/a>Uncertainty, like change before it, is a new constant for human societies in 2024: what do we know will come? What has uncertainty already brought us?<\/p>\n\n\n\n

Is it the realization of what marketing promised?<\/h3>\n\n\n\n

The hype surrounding AI, which reached new heights in 2023, is now facing a reality check. Companies are expected to weigh the actual benefits of AI tools against their costs and risks, which could lead to a Retraction of premature or excessive AI implementations<\/strong>. This reassessment could also trigger legal and regulatory action against AI service providers who fail to deliver on their promises. (https:\/\/techcrunch.com\/2023\/12\/19\/8-predictions-for-ai-in-2024\/<\/a>).<\/p>\n\n\n\n

Apple's entry into AI: SiriX<\/h3>\n\n\n\n

Apple is about to make a major foray into AI, a nnew generation of its iPhone focused on improving personal digital assistant (Siri)<\/strong> through data and at the same time avoiding the generation of texts, images or media that are risky for privacy.<\/p>\n\n\n\n

A Generative AI trained with your own data<\/h3>\n\n\n\n

Generative AI (GenAI) will extend its influence beyond creative applications, becoming an integral part of content strategy and product or service design. Improvements in Recall Augmented Generation (RAG, a technique for using proprietary data in AI \u201cretraining\u201d) will enable to obtain more accurate and contextually nuanced results, using large amounts of own information <\/strong>to tune or retrain AI models (https:\/\/www.veritas.com\/blogs\/ai-in-2024-10-predictions-shaping-our-future<\/a>). We have already seen the launch of a paid version of Gemini, Google's foundational AI, which promises to learn and adapt to the content in our Google Drive (https:\/\/gemini.google.com\/advanced<\/a>).<\/p>\n\n\n\n

AI-generated disinformation<\/h3>\n\n\n\n

AI-generated disinformation, especially in the context of elections, is poised to become a major challenge. It is expected that...The ease of creating deepfakes and the proliferation of disinformation complicate the outlook<\/strong> political and the information ecosystem in general (https:\/\/www.technologyreview.com\/2024\/01\/04\/1086046\/whats-next-for-ai-in-2024\/<\/a>We have already seen some joint government and industry initiatives to combat disinformation in the context of the 2024 elections, such as the AI Elections Accord. https:\/\/www.aielectionsaccord.com\/<\/a>.<\/p>\n\n\n\n

Trade and innovations in security<\/h3>\n\n\n\n

In retail, virtual shopping advisors (powered by GenAI) will offer personalized shopping experiences, while AI-driven security systems will enhance in-store safety. This dual application underscores AI's role in optimizing customer engagement and operational security. (https:\/\/blogs.nvidia.com\/blog\/2024-ai-predictions\/<\/a>).<\/p>\n\n\n\n

Industrial digitization and AI<\/h3>\n\n\n\n

The fusion of industrial digitization with GenAI is poised to accelerate industrial transformation, particularly in the field of robotics, by 2024. This will facilitate the conversion of physical attributes into digital data in both directions, thereby improving product design, manufacturing, virtual training, and worker safety. We are already seeing initiatives where LLMs (degrees in language modeling) are integrated with robots to explore possibilities in various industries<\/strong> (https:\/\/www.scientificamerican.com\/article\/scientists-are-putting-chatgpt-brains-inside-robot-bodies-what-could-possibly-go-wrong\/<\/a>)<\/p>\n\n\n\n

Legal and compliance overview<\/h3>\n\n\n\n

The legal and regulatory landscape surrounding AI is expected to become a battleground, with debates on fair use, copyright, and civil liability<\/strong> heating up alongside efforts to regulate major linguistic models and specific use cases (https:\/\/www2.deloitte.com\/us\/en\/pages\/technology\/articles\/ai-predictions-for-2024.html<\/a>This represents an opportunity for civil society to enter the conversation and enrich the debate surrounding human rights and technology (already addressed by regional impact organizations such as the Karisma Foundation in https:\/\/web.karisma.org.co\/lanzamos-mi-pequeno-glosario-de-derechos-humanos-y-tecnologia\/<\/a>)<\/p>\n\n\n\n

Challenges and innovations in the AI engine: chips<\/h3>\n\n\n\n

A potential global shortage of GPUs (Graphics Processors), crucial for AI operations, will accelerate innovation in hardware development, driving efforts to find low-power and cost-effective alternatives to current GPUs. (https:\/\/hai.stanford.edu\/news\/what-expect-ai-2024<\/a>Google, Meta (Facebook), and Intel are already in advanced stages of developing GPUs to rival the undisputed market leaders: Nvidia's H100. Innovative initiatives like Groq, which have completely redesigned processors to accelerate interaction with chatbots by up to 1000x<\/strong>, They are beginning to emerge in the market and we can already see their results (https:\/\/groq.com\/<\/a>).<\/p>\n\n\n\n

Myths and realities: no apocalypse in sight<\/h3>\n\n\n\n

Contrary to catastrophic predictions, AI is not expected to eliminate all jobs or end civilization.<\/strong>. On the contrary, it will continue to help organizations that adopt it responsibly to make better decisions, highlighting AI's role as a tool for improvement, not displacement. (https:\/\/www.sas.com\/en_us\/news\/press-releases\/2023\/november\/ai-predictions-2024.html<\/a>).<\/p>\n\n\n\n

\n\n\n\n

These predictions for 2024 underscore the dynamic nature of AI development and its growing impact across various sectors. As AI continues to evolve, businesses, policymakers, and individuals alike must navigate these changes with a critical and informed approach, balancing innovation with ethical considerations and the well-being of society. So how do we move from talking about it to implementing Artificial Intelligence in 2024?<\/strong><\/p>\n\n\n\n

Principles for a conscious implementation of AI in 2024<\/h2>\n\n\n\n

The conscious use of Artificial Intelligence (AI) involves Integrate ethical guidelines, equity, inclusivity, and safety into the development and deployment of AI technologies<\/strong>. This approach is vital in all sectors, including business, education, culture, healthcare, and technological development.<\/p>\n\n\n\n

Ethical design and equity<\/h3>\n\n\n\n

\u25cf Commitment to diverse experts:<\/strong> It is increasingly crucial to involve social and human scientists, ethicists, and other relevant experts in the AI development process to ensure that diverse perspectives are considered. This helps to design AI models that are fair and inclusive, taking into account the impacts on different user groups and communities. (https:\/\/ai.google\/responsibility\/responsible-ai-practices\/<\/a>).<\/p>\n\n\n\n

\u25cf Diverse and representative datasets: <\/strong>Applying infodiversity principles to the training, tuning, and testing of AI models is essential to avoid bias. Fairness in AI requires continuous evaluation of data representation and the mitigation of discriminatory biases.<\/p>\n\n\n\n

Interdisciplinary collaboration in implementation<\/h3>\n\n\n\n

The implementation of AI should be considered a challenge that is as much human as technological, requiring collaborative ecosystems that include AI developers, social and human scientists, user experience (UX) designers, lawyers, ethicists, business leaders, and users<\/strong>. This collaborative approach ensures a responsible deployment of AI technologies. (https:\/\/www.bcg.com\/capabilities\/artificial-intelligence\/ai-for-business-society-individuals\/responsible-ai<\/a>), where key questions are raised:<\/p>\n\n\n\n

    \n
  1. What are the processes that require the most cognitive effort in the organization?.<\/li>\n\n\n\n
  2. Among these processes, which ones have a lower emotional return for the team (satisfaction in their execution)?.<\/li>\n\n\n\n
  3. Which Artificial Intelligences can help to semi-automate or automate those processes?.<\/li>\n\n\n\n
  4. What are the ethical, legal, and reputational implications of using these AIs?.<\/li>\n\n\n\n
  5. Which soft skills should I develop in the team before using AI?.<\/li>\n\n\n\n
  6. How to train the team in the use of those AIs.<\/li>\n\n\n\n
  7. How will the success of that implementation be measured and how will continuous learning be promoted?.<\/li>\n<\/ol>\n\n\n\n

    Creating a framework for responsible use<\/h3>\n\n\n\n

    A simple yet effective framework for the responsible use of AI includes evaluating initial results, verifying facts and data, editing indications to improve them, and reviewing results to ensure accuracy and transparency. Ultimately, lThe responsibility for ensuring that AI results meet ethical standards lies with the end users.<\/strong>, organizations or people (https:\/\/www.aiforeducation.io\/ai-resources\/how-to-use-ai-responsibly-every-time<\/a>).<\/p>\n\n\n\n

    Management of new organizational risks<\/h3>\n\n\n\n

    With the advancement of generative AI, new risks emerge, including those related to cybersecurity, privacy, legal issues, performance, bias, and intellectual property. To mitigate these risks, it is essential that senior executives have a thorough understanding of responsible AI practices. (https:\/\/www.pwc.com\/us\/en\/tech-effect\/ai-analytics\/responsible-ai-for-generative-ai.html<\/a>). Are we preparing managers while training the team for implementation?<\/strong><\/p>\n\n\n\n

    Specific considerations for the health sector<\/h3>\n\n\n\n

    In healthcare, the deployment of AI requires careful attention to biases, which can lead to unequal treatment and detrimental outcomes for patients. Transparency in how patient data is used, along with strict security measures, is essential to protect sensitive information and ensure patient health and privacy. (https:\/\/healthitanalytics.com\/features\/responsible-ai-deployment-in-healthcare-requires-collaboration<\/a>).<\/p>\n\n\n\n

    By adhering to these principles and practices, organizations canharnessing the power of AI in ways that benefit society while mitigating potential harms.<\/strong> The conscious use of AI is not just about avoiding risks, but also about harnessing it as a force for good, promoting equity and inclusion and improving lives.<\/p>\n\n\n\n

    \n

    And what steps have you taken for a conscious implementation of AI in your personal and professional life?<\/p>\n<\/blockquote>","protected":false},"excerpt":{"rendered":"

    Just over a year after an information overload (almost always exaggerated and misinformed) surrounding Artificial Intelligence, or AI, it's time to move from conversation to implementation. Countless opportunities already exist to learn basic skills for free, so now is the time to put them into practice. If you're not yet familiar with the fundamentals of AI, simply browse Coursera, edX, or Platzi to find free courses that will help you understand the general context. There are even specialized curricula for specific areas of knowledge, such as our "Introduction to Artificial Intelligence for Librarians," which remains available, free, and open to everyone at www.iaparabibliotecas.com (with an introductory session suitable for any profession and academic level). In this article, we'll give a quick overview of AI in 2023, along with what 2024 has in store, as a foundation for proposing some key dynamics in its implementation. Welcome to AI: This Is How Intelligence Looks! 2023: Awakening from the Shadows of Generative AI. 2023 was pivotal for Artificial Intelligence (AI), marking a year of significant transformation and rapid advancements. The integration of Generative AI (GenAI) across various business functions signals a shift towards more innovative and efficient operations, albeit with emerging challenges related to accuracy, cybersecurity, and regulatory compliance. Leading organizations (OpenAI\/Microsoft, Anthropic\/Amazon, Google, Meta, ElevenLabs, Runway ML, Stability, Perplexity, etc.) are leveraging AI not only to help reduce costs but also as a fundamental component of product and service development, emphasizing the creation of new businesses and enhancing the value of existing offerings. These entities are investing significantly in AI, integrating it into multiple business functions, demonstrating AI's strategic importance in driving competitive advantage and operational excellence (https:\/\/www.mckinsey.com\/capabilities\/quantumblack\/our-insights\/the-state-of-ai-in-2023-generative-AIs-breakout-year). The GPT-4 presentation underscored the paramount role of computing power, likening it to the new oil fueling AI's rapid evolution. However, concerns are growing about the energy consumption and carbon emissions resulting from training massive models (https:\/\/www.stateof.ai\/). Gartner's 2023 AI Hype Cycle identifies generative AI and decision intelligence as innovations poised for widespread adoption in the coming years. This reflects AI's potential to revolutionize business if deployed responsibly and effectively (https:\/\/www.gartner.com\/en\/articles\/what-s-new-in-artificial-intelligence-from-the-2023-gartner-hype-cycle). From accelerating scientific discoveries to raising ethical dilemmas, AI demonstrates its double-edged nature as both a powerful tool for advancement and a subject of debate regarding its societal implications. With AI models contributing to major scientific and technological breakthroughs, the discourse surrounding fairness, bias, and ethics is gaining prominence, reflecting the complex interplay between technological innovation and social norms (https:\/\/aiindex.stanford.edu\/report\/). 2024: Navigating Uncertainty in the Age of AI. In recent weeks, we've seen the emergence of tools that continue to challenge our ability to discern between the real and the digitally generated, such as OpenAI's video creator, Sora (https:\/\/openai.com\/sora). Uncertainty, like change before it, is a new constant for human societies in 2024: what, then, do we know is coming? What has uncertainty already brought us? The fulfillment of what marketing promised? The AI hype that reached new heights in 2023 is now facing a reality check. Companies are expected to weigh the real benefits of AI tools against their costs and risks, which could lead to a retreat from premature or exaggerated AI deployments. This reassessment could also trigger legal and regulatory action against AI service providers who fail to deliver on their promises (https:\/\/techcrunch.com\/2023\/12\/19\/8-predictions-for-ai-in-2024\/). Apple's entry into AI: SiriX. Apple is poised to make a major foray into AI with a new generation of its iPhone focused on improving personal digital assistants (Siri) through data, while avoiding the generation of privacy-risky text, images, or media. Generative AI trained on your own data. Generative AI (GenAI) will extend its influence beyond creative applications, becoming an integral part of content strategy and the design of products or services. Improvements in Augmented Recovery Generation (RAG, a technique for using user data to "retrain" AI) will allow for more accurate and contextually nuanced results, using large amounts of user data to refine or retrain AI models (https:\/\/www.veritas.com\/blogs\/ai-in-2024-10-predictions-shaping-our-future). We have already seen the launch of a paid version of Gemini, Google's foundational AI, which promises to learn and adapt using the content in our Google Drive (https:\/\/gemini.google.com\/advanced). AI-generated disinformation, especially in the context of elections, is set to become a major challenge. The ease of creating deepfakes and the proliferation of disinformation are expected to complicate the political landscape and the broader information ecosystem (https:\/\/www.technologyreview.com\/2024\/01\/04\/1086046\/whats-next-for-ai-in-2024\/). We have already seen some mixed government-industry initiatives to combat disinformation in the context of the 2024 elections, such as the AI Elections Accord (https:\/\/www.aielectionsaccord.com\/). In retail, virtual shopping advisors (powered by GenAI) will offer personalized shopping experiences, while AI-powered security systems will improve in-store safety. This dual application underscores AI's role in optimizing customer engagement and operational security (https:\/\/blogs.nvidia.com\/blog\/2024-ai-predictions\/). Industrial Digitization and AI: The fusion of industrial digitization with GenAI is poised to accelerate industrial transformation, particularly in the field of robotics, by 2024. This will facilitate the conversion of physical attributes into digital data in both directions, thereby improving product design, manufacturing, virtual training, and worker safety. We are already seeing initiatives.<\/p>","protected":false},"author":1,"featured_media":1949,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[1],"tags":[],"class_list":["post-1948","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-uncategorized"],"yoast_head":"\nConvivir con la IA en 2024: hora de pasar a la acci\u00f3n - IA para Bibliotecas<\/title>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/www.iaparabibliotecas.com\/en\/convivir-con-la-ia-en-2024-hora-de-pasar-a-la-accion\/\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Convivir con la IA en 2024: hora de pasar a la acci\u00f3n - IA para Bibliotecas\" \/>\n<meta property=\"og:description\" content=\"A poco m\u00e1s de un a\u00f1o de una saturaci\u00f3n informativa (casi siempre exagerada y desinformada) en torno a la Inteligencia Artificial o IA, es hora de pasar de la conversaci\u00f3n a la implementaci\u00f3n. Hay ya incontables oportunidades para formarse gratuitamente en las habilidades b\u00e1sicas, as\u00ed que llego el momento de aplicarlas. Si a\u00fan no conocemos los fundamentos de la IA, basta con cruzarse por Coursera, edX o Platzi para tomar cursos gratuitos que nos permiten entender el contexto general; incluso hay curr\u00edculos especializados \u00e1reas del conocimiento, como nuestra \u201cIntroducci\u00f3n a la Inteligencia Artificial para Bibliotecari@s\u201d que sigue vigente, libre y abierta para todos desde www.iaparabibliotecas.com (con una sesi\u00f3n inicial apta para cualquier profesi\u00f3n y nivel acad\u00e9mico). En este art\u00edculo daremos un repaso r\u00e1pido por la IA en 2023, junto a lo que nos trae 2024 como bases para proponer algunas din\u00e1micas clave en su implementaci\u00f3n \u00a1bienvenidos a IAs\u00ed se ve la Inteligencia! 2023: Despertar entre las sombras de la IA Generativa 2023 fue fundamental para la Inteligencia Artificial (IA), marcando un a\u00f1o de transformaci\u00f3n significativa y r\u00e1pidos avances. La integraci\u00f3n de la IA Generativa (GenAI) en diversas funciones empresariales se\u00f1ala un cambio hacia operaciones m\u00e1s innovadoras y eficientes, aunque con retos emergentes relativos a la precisi\u00f3n, la ciberseguridad y el cumplimiento de la normativa. Las organizaciones l\u00edderes (OpenAI\/Microsoft, Anthropic\/Amazon, Google, Meta, ElevenLabs, Runway ML, Stability, Perplexity\u2026) est\u00e1n aprovechando la IA no s\u00f3lo para ayudar a reducir costes, sino como un componente fundamental del desarrollo de productos y servicios, haciendo hincapi\u00e9 en la creaci\u00f3n de nuevos negocios y mejorando el valor de las ofertas existentes. Estas entidades est\u00e1n invirtiendo significativamente en IA, integr\u00e1ndola en m\u00faltiples funciones empresariales, lo que demuestra la importancia estrat\u00e9gica de la IA para impulsar la ventaja competitiva y la excelencia operativa (https:\/\/www.mckinsey.com\/capabilities\/quantumblack\/our-insights\/the-state-of-ai-in-2023-generative-AIs-breakout-year). La presentaci\u00f3n de GPT-4 subray\u00f3 el papel preponderante de la potencia de c\u00e1lculo, compar\u00e1ndola con el nuevo petr\u00f3leo que alimenta la r\u00e1pida evoluci\u00f3n de la IA. Sin embargo, crece la preocupaci\u00f3n por el consumo de energ\u00eda y las emisiones de carbono derivadas del entrenamiento de modelos masivos (https:\/\/www.stateof.ai\/). El Hype Cycle de Gartner para la IA en 2023 identifica la IA generativa y la inteligencia para la toma de decisiones como innovaciones preparadas para su adopci\u00f3n generalizada en los pr\u00f3ximos a\u00f1os. Esto refleja el potencial de la IA para revolucionar las empresas, si se despliega de forma responsable y eficaz (https:\/\/www.gartner.com\/en\/articles\/what-s-new-in-artificial-intelligence-from-the-2023-gartner-hype-cycle). Desde la aceleraci\u00f3n de los descubrimientos cient\u00edficos hasta el planteamiento de dilemas \u00e9ticos, la IA muestra su doble filo como poderosa herramienta de avance y como tema de debate sobre sus implicaciones en la sociedad. Con los modelos de IA contribuyendo a los grandes avances de la ciencia y la tecnolog\u00eda, el discurso en torno a la imparcialidad, los prejuicios y la \u00e9tica gana protagonismo, reflejando la compleja interacci\u00f3n entre la innovaci\u00f3n tecnol\u00f3gica y las normas sociales (https:\/\/aiindex.stanford.edu\/report\/). 2024: Navegando la incertidumbre en la Era de la IA En las \u00faltimas semanas hemos visto surgir herramientas que contin\u00faan cuestionando nuestra capacidad para discernir entre lo real y lo generado digitalmente, como el creador de video Sora de OpenAI (https:\/\/openai.com\/sora). La incertidumbre es, como lo era ya el cambio, una nueva constante para las sociedades humanas en 2024: \u00bfqu\u00e9 es entonces lo que s\u00ed sabemos que vendr\u00e1? \u00bfqu\u00e9 nos ha tra\u00eddo ya la incertidumbre? \u00bfLa realizaci\u00f3n de lo que el marketing prometi\u00f3? El bombo publicitario de la IA que alcanz\u00f3 nuevas cotas en 2023 se enfrenta a una comprobaci\u00f3n de la realidad. Se prev\u00e9 que las empresas eval\u00faen los beneficios reales de las herramientas de IA frente a sus costes y riesgos, lo que podr\u00eda conducir a una retracci\u00f3n de las implantaciones prematuras o exageradas de IA. Esta reevaluaci\u00f3n tambi\u00e9n puede desencadenar acciones legales y reglamentarias contra los proveedores de servicios de IA que no cumplan sus promesas (https:\/\/techcrunch.com\/2023\/12\/19\/8-predictions-for-ai-in-2024\/). La entrada de Apple en la IA: SiriX Apple est\u00e1 a punto de hacer una gran incursi\u00f3n en la IA, una nueva generaci\u00f3n de su iPhone centrada en mejorar la asistencia digital personal (Siri) a trav\u00e9s de los datos y evitando al mismo tiempo la generaci\u00f3n de textos, im\u00e1genes o medios riesgosos para la privacidad. Una IA Generativa entrenada con tus propios datos La IA generativa (GenAI) extender\u00e1 su influencia m\u00e1s all\u00e1 de las aplicaciones creativas, convirti\u00e9ndose en parte integrante de la estrategia de contenidos y el dise\u00f1o de productos o servicios. Las mejoras en la Generaci\u00f3n Aumentada de Recuperaci\u00f3n (RAG, una t\u00e9cnica para usar datos propios en el \u201cre-entrenamiento\u201d de IA) permitir\u00e1n obtener resultados m\u00e1s precisos y matizados contextualmente, usando grandes cantidades de informaci\u00f3n propia para afinar o reentrenar modelos de IA (https:\/\/www.veritas.com\/blogs\/ai-in-2024-10-predictions-shaping-our-future). Ya hemos visto el lanzamiento de una versi\u00f3n paga de Gemini, la IA fundacional de Google, que promete aprender y adaptarse con los contenidos de nuestro Google Drive (https:\/\/gemini.google.com\/advanced). Desinformaci\u00f3n generada por IA La desinformaci\u00f3n generada por la IA, especialmente en el contexto de las elecciones, est\u00e1 llamada a convertirse en un reto importante. Se espera que la facilidad para crear falsificaciones profundas (Deep Fakes) y la proliferaci\u00f3n de la desinformaci\u00f3n compliquen el panorama pol\u00edtico y el ecosistema de la informaci\u00f3n en general (https:\/\/www.technologyreview.com\/2024\/01\/04\/1086046\/whats-next-for-ai-in-2024\/). Ya hemos visto algunas iniciativas mixtas, de gobierno e industria, para combatir la desinformaci\u00f3n en el contexto electoral de 2024 como el AI Elections Accord https:\/\/www.aielectionsaccord.com\/. Comercio e innovaciones en seguridad En el comercio minorista, los asesores de compras virtuales (impulsados por GenAI) ofrecer\u00e1n experiencias de compra personalizadas, mientras que los sistemas de seguridad impulsados por IA mejorar\u00e1n la seguridad en las tiendas. Esta doble aplicaci\u00f3n subraya el papel de la IA en la optimizaci\u00f3n del compromiso con el cliente y la seguridad operativa (https:\/\/blogs.nvidia.com\/blog\/2024-ai-predictions\/). Digitalizaci\u00f3n industrial e IA La fusi\u00f3n de la digitalizaci\u00f3n industrial con la GenAI est\u00e1 llamada a acelerar la transformaci\u00f3n industrial, especialmente en el campo de la rob\u00f3tica durante 2024. Esto facilitar\u00e1 la conversi\u00f3n de atributos f\u00edsicos en datos digitales en ambos sentidos, mejorando as\u00ed el dise\u00f1o de productos, la fabricaci\u00f3n, la formaci\u00f3n virtual y la seguridad de los trabajadores. Ya vemos iniciativas\" \/>\n<meta property=\"og:url\" content=\"https:\/\/www.iaparabibliotecas.com\/en\/convivir-con-la-ia-en-2024-hora-de-pasar-a-la-accion\/\" \/>\n<meta property=\"og:site_name\" content=\"IA para Bibliotecas\" \/>\n<meta property=\"article:published_time\" content=\"2024-04-15T13:55:30+00:00\" \/>\n<meta property=\"article:modified_time\" content=\"2024-04-15T13:55:31+00:00\" \/>\n<meta property=\"og:image\" content=\"https:\/\/www.iaparabibliotecas.com\/wp-content\/uploads\/2024\/04\/as.jpg\" \/>\n\t<meta property=\"og:image:width\" content=\"1260\" \/>\n\t<meta property=\"og:image:height\" content=\"720\" \/>\n\t<meta property=\"og:image:type\" content=\"image\/jpeg\" \/>\n<meta name=\"author\" content=\"admin\" \/>\n<meta name=\"twitter:card\" content=\"summary_large_image\" \/>\n<meta name=\"twitter:label1\" content=\"Written by\" \/>\n\t<meta name=\"twitter:data1\" content=\"admin\" \/>\n\t<meta name=\"twitter:label2\" content=\"Est. reading time\" \/>\n\t<meta name=\"twitter:data2\" content=\"10 minutes\" \/>\n<script type=\"application\/ld+json\" class=\"yoast-schema-graph\">{\"@context\":\"https:\\\/\\\/schema.org\",\"@graph\":[{\"@type\":\"Article\",\"@id\":\"https:\\\/\\\/www.iaparabibliotecas.com\\\/convivir-con-la-ia-en-2024-hora-de-pasar-a-la-accion\\\/#article\",\"isPartOf\":{\"@id\":\"https:\\\/\\\/www.iaparabibliotecas.com\\\/convivir-con-la-ia-en-2024-hora-de-pasar-a-la-accion\\\/\"},\"author\":{\"name\":\"admin\",\"@id\":\"https:\\\/\\\/www.iaparabibliotecas.com\\\/#\\\/schema\\\/person\\\/84f925888222df34c882d20065579bae\"},\"headline\":\"Convivir con la IA en 2024: hora de pasar a la acci\u00f3n\",\"datePublished\":\"2024-04-15T13:55:30+00:00\",\"dateModified\":\"2024-04-15T13:55:31+00:00\",\"mainEntityOfPage\":{\"@id\":\"https:\\\/\\\/www.iaparabibliotecas.com\\\/convivir-con-la-ia-en-2024-hora-de-pasar-a-la-accion\\\/\"},\"wordCount\":2325,\"commentCount\":0,\"publisher\":{\"@id\":\"https:\\\/\\\/www.iaparabibliotecas.com\\\/#organization\"},\"image\":{\"@id\":\"https:\\\/\\\/www.iaparabibliotecas.com\\\/convivir-con-la-ia-en-2024-hora-de-pasar-a-la-accion\\\/#primaryimage\"},\"thumbnailUrl\":\"https:\\\/\\\/www.iaparabibliotecas.com\\\/wp-content\\\/uploads\\\/2024\\\/04\\\/as.jpg\",\"articleSection\":[\"Aplicaciones IA en Bibliotecas\"],\"inLanguage\":\"en-US\",\"potentialAction\":[{\"@type\":\"CommentAction\",\"name\":\"Comment\",\"target\":[\"https:\\\/\\\/www.iaparabibliotecas.com\\\/convivir-con-la-ia-en-2024-hora-de-pasar-a-la-accion\\\/#respond\"]}]},{\"@type\":\"WebPage\",\"@id\":\"https:\\\/\\\/www.iaparabibliotecas.com\\\/convivir-con-la-ia-en-2024-hora-de-pasar-a-la-accion\\\/\",\"url\":\"https:\\\/\\\/www.iaparabibliotecas.com\\\/convivir-con-la-ia-en-2024-hora-de-pasar-a-la-accion\\\/\",\"name\":\"Convivir con la IA en 2024: hora de pasar a la acci\u00f3n - 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IA para Bibliotecas","robots":{"index":"index","follow":"follow","max-snippet":"max-snippet:-1","max-image-preview":"max-image-preview:large","max-video-preview":"max-video-preview:-1"},"canonical":"https:\/\/www.iaparabibliotecas.com\/en\/convivir-con-la-ia-en-2024-hora-de-pasar-a-la-accion\/","og_locale":"en_US","og_type":"article","og_title":"Convivir con la IA en 2024: hora de pasar a la acci\u00f3n - IA para Bibliotecas","og_description":"A poco m\u00e1s de un a\u00f1o de una saturaci\u00f3n informativa (casi siempre exagerada y desinformada) en torno a la Inteligencia Artificial o IA, es hora de pasar de la conversaci\u00f3n a la implementaci\u00f3n. Hay ya incontables oportunidades para formarse gratuitamente en las habilidades b\u00e1sicas, as\u00ed que llego el momento de aplicarlas. Si a\u00fan no conocemos los fundamentos de la IA, basta con cruzarse por Coursera, edX o Platzi para tomar cursos gratuitos que nos permiten entender el contexto general; incluso hay curr\u00edculos especializados \u00e1reas del conocimiento, como nuestra \u201cIntroducci\u00f3n a la Inteligencia Artificial para Bibliotecari@s\u201d que sigue vigente, libre y abierta para todos desde www.iaparabibliotecas.com (con una sesi\u00f3n inicial apta para cualquier profesi\u00f3n y nivel acad\u00e9mico). En este art\u00edculo daremos un repaso r\u00e1pido por la IA en 2023, junto a lo que nos trae 2024 como bases para proponer algunas din\u00e1micas clave en su implementaci\u00f3n \u00a1bienvenidos a IAs\u00ed se ve la Inteligencia! 2023: Despertar entre las sombras de la IA Generativa 2023 fue fundamental para la Inteligencia Artificial (IA), marcando un a\u00f1o de transformaci\u00f3n significativa y r\u00e1pidos avances. La integraci\u00f3n de la IA Generativa (GenAI) en diversas funciones empresariales se\u00f1ala un cambio hacia operaciones m\u00e1s innovadoras y eficientes, aunque con retos emergentes relativos a la precisi\u00f3n, la ciberseguridad y el cumplimiento de la normativa. Las organizaciones l\u00edderes (OpenAI\/Microsoft, Anthropic\/Amazon, Google, Meta, ElevenLabs, Runway ML, Stability, Perplexity\u2026) est\u00e1n aprovechando la IA no s\u00f3lo para ayudar a reducir costes, sino como un componente fundamental del desarrollo de productos y servicios, haciendo hincapi\u00e9 en la creaci\u00f3n de nuevos negocios y mejorando el valor de las ofertas existentes. Estas entidades est\u00e1n invirtiendo significativamente en IA, integr\u00e1ndola en m\u00faltiples funciones empresariales, lo que demuestra la importancia estrat\u00e9gica de la IA para impulsar la ventaja competitiva y la excelencia operativa (https:\/\/www.mckinsey.com\/capabilities\/quantumblack\/our-insights\/the-state-of-ai-in-2023-generative-AIs-breakout-year). La presentaci\u00f3n de GPT-4 subray\u00f3 el papel preponderante de la potencia de c\u00e1lculo, compar\u00e1ndola con el nuevo petr\u00f3leo que alimenta la r\u00e1pida evoluci\u00f3n de la IA. Sin embargo, crece la preocupaci\u00f3n por el consumo de energ\u00eda y las emisiones de carbono derivadas del entrenamiento de modelos masivos (https:\/\/www.stateof.ai\/). El Hype Cycle de Gartner para la IA en 2023 identifica la IA generativa y la inteligencia para la toma de decisiones como innovaciones preparadas para su adopci\u00f3n generalizada en los pr\u00f3ximos a\u00f1os. Esto refleja el potencial de la IA para revolucionar las empresas, si se despliega de forma responsable y eficaz (https:\/\/www.gartner.com\/en\/articles\/what-s-new-in-artificial-intelligence-from-the-2023-gartner-hype-cycle). Desde la aceleraci\u00f3n de los descubrimientos cient\u00edficos hasta el planteamiento de dilemas \u00e9ticos, la IA muestra su doble filo como poderosa herramienta de avance y como tema de debate sobre sus implicaciones en la sociedad. Con los modelos de IA contribuyendo a los grandes avances de la ciencia y la tecnolog\u00eda, el discurso en torno a la imparcialidad, los prejuicios y la \u00e9tica gana protagonismo, reflejando la compleja interacci\u00f3n entre la innovaci\u00f3n tecnol\u00f3gica y las normas sociales (https:\/\/aiindex.stanford.edu\/report\/). 2024: Navegando la incertidumbre en la Era de la IA En las \u00faltimas semanas hemos visto surgir herramientas que contin\u00faan cuestionando nuestra capacidad para discernir entre lo real y lo generado digitalmente, como el creador de video Sora de OpenAI (https:\/\/openai.com\/sora). La incertidumbre es, como lo era ya el cambio, una nueva constante para las sociedades humanas en 2024: \u00bfqu\u00e9 es entonces lo que s\u00ed sabemos que vendr\u00e1? \u00bfqu\u00e9 nos ha tra\u00eddo ya la incertidumbre? \u00bfLa realizaci\u00f3n de lo que el marketing prometi\u00f3? El bombo publicitario de la IA que alcanz\u00f3 nuevas cotas en 2023 se enfrenta a una comprobaci\u00f3n de la realidad. Se prev\u00e9 que las empresas eval\u00faen los beneficios reales de las herramientas de IA frente a sus costes y riesgos, lo que podr\u00eda conducir a una retracci\u00f3n de las implantaciones prematuras o exageradas de IA. Esta reevaluaci\u00f3n tambi\u00e9n puede desencadenar acciones legales y reglamentarias contra los proveedores de servicios de IA que no cumplan sus promesas (https:\/\/techcrunch.com\/2023\/12\/19\/8-predictions-for-ai-in-2024\/). La entrada de Apple en la IA: SiriX Apple est\u00e1 a punto de hacer una gran incursi\u00f3n en la IA, una nueva generaci\u00f3n de su iPhone centrada en mejorar la asistencia digital personal (Siri) a trav\u00e9s de los datos y evitando al mismo tiempo la generaci\u00f3n de textos, im\u00e1genes o medios riesgosos para la privacidad. Una IA Generativa entrenada con tus propios datos La IA generativa (GenAI) extender\u00e1 su influencia m\u00e1s all\u00e1 de las aplicaciones creativas, convirti\u00e9ndose en parte integrante de la estrategia de contenidos y el dise\u00f1o de productos o servicios. Las mejoras en la Generaci\u00f3n Aumentada de Recuperaci\u00f3n (RAG, una t\u00e9cnica para usar datos propios en el \u201cre-entrenamiento\u201d de IA) permitir\u00e1n obtener resultados m\u00e1s precisos y matizados contextualmente, usando grandes cantidades de informaci\u00f3n propia para afinar o reentrenar modelos de IA (https:\/\/www.veritas.com\/blogs\/ai-in-2024-10-predictions-shaping-our-future). Ya hemos visto el lanzamiento de una versi\u00f3n paga de Gemini, la IA fundacional de Google, que promete aprender y adaptarse con los contenidos de nuestro Google Drive (https:\/\/gemini.google.com\/advanced). Desinformaci\u00f3n generada por IA La desinformaci\u00f3n generada por la IA, especialmente en el contexto de las elecciones, est\u00e1 llamada a convertirse en un reto importante. Se espera que la facilidad para crear falsificaciones profundas (Deep Fakes) y la proliferaci\u00f3n de la desinformaci\u00f3n compliquen el panorama pol\u00edtico y el ecosistema de la informaci\u00f3n en general (https:\/\/www.technologyreview.com\/2024\/01\/04\/1086046\/whats-next-for-ai-in-2024\/). Ya hemos visto algunas iniciativas mixtas, de gobierno e industria, para combatir la desinformaci\u00f3n en el contexto electoral de 2024 como el AI Elections Accord https:\/\/www.aielectionsaccord.com\/. Comercio e innovaciones en seguridad En el comercio minorista, los asesores de compras virtuales (impulsados por GenAI) ofrecer\u00e1n experiencias de compra personalizadas, mientras que los sistemas de seguridad impulsados por IA mejorar\u00e1n la seguridad en las tiendas. Esta doble aplicaci\u00f3n subraya el papel de la IA en la optimizaci\u00f3n del compromiso con el cliente y la seguridad operativa (https:\/\/blogs.nvidia.com\/blog\/2024-ai-predictions\/). Digitalizaci\u00f3n industrial e IA La fusi\u00f3n de la digitalizaci\u00f3n industrial con la GenAI est\u00e1 llamada a acelerar la transformaci\u00f3n industrial, especialmente en el campo de la rob\u00f3tica durante 2024. Esto facilitar\u00e1 la conversi\u00f3n de atributos f\u00edsicos en datos digitales en ambos sentidos, mejorando as\u00ed el dise\u00f1o de productos, la fabricaci\u00f3n, la formaci\u00f3n virtual y la seguridad de los trabajadores. 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