Welocalize’s Post

AI is an increasingly popular tool for brands to translate product packaging and labelling. But what are the risks of relying solely on Artificial Intelligence to translate your content? Our latest blog post looks at the pros and cons of AI in packaging translation. For example, while AI can quickly and cheaply translate content into multiple languages, it may miss critical legal requirements or cultural nuances. Mistranslated product labels could lead to non-compliance issues, reputational damage and financial penalties, and even impact consumer safety. For many brands expanding internationally, investing in professional human translation services may avoid the potential pitfalls of badly translated product labeling. What are your thoughts on AI as a translation tool? Read our blog post and share your comments below. #AI #ArtificialIntelligence #Translation #FoodLabel #Packaging

AI-generated content is getting so good, it's blurring the lines between human and machine. But is this progress a blessing or a curse? While AI can create compelling content, it also carries the risk of homogenizing communication. We're faced with a choice: embrace AI's efficiency or prioritize genuine, personal interactions. Let's explore the effectiveness and limitations of AI in personal communication. #AI #ArtificialIntelligence #Communication #Technology #PersonalInteraction

Will AI take over the translation industry as a whole is a topic that our translators discuss frequently. and the response is NO, even though AI will be useful for translation in some contexts. Human interaction is our primary goal at Unihay, where we have regular phone conversations with clients. In addition, human voices are more passionate and empathic than AI's. #translators #sales #freelancetranslators #unihay

AI writers face several challenges, including: Context Understanding: AI may struggle with deep context or nuanced understanding, leading to responses that are overly simplistic or irrelevant. Creativity: While AI can generate text based on patterns, it often lacks true creativity and originality. Bias: AI can inadvertently perpetuate or amplify biases present in the data it was trained on. Consistency: Maintaining consistent tone and style throughout long pieces of text can be difficult for AI. Ethical Concerns: Ensuring that AI-generated content adheres to ethical standards and does not spread misinformation or offensive content is a constant challenge. These issues highlight the importance of human oversight and critical evaluation in AI-assisted writing. For AI and Technology: #AI #ArtificialIntelligence #MachineLearning #TechInnovation #DataScience For Writing and Content Creation: #ContentWriting #CreativeWriting #WritingCommunity #ContentCreation #WritingTips For Ethical and Bias Discussions: #EthicalAI #BiasInAI #ResponsibleAI #FairAI #TechEthics

AI-generated content has come on leaps and bounds in recent times. However, there’s still a long way to go for it to match that of a human. Common accessibility errors with AI produced content include: Inaccurate alt text Captions being incorrect Poor readability scores Content not being presented in a logical order Links not navigating to credible sources of information Walls of text, lacking bulleted lists, impacting the reader’s experience. Read our blog to learn more about why a human's oversight is crucial for inclusive content: https://zurl.co/fW4Y #A11y #Accessibility #AI #InclusiveDesign #Communications #WebDesign #WebDevelopment #DisabilityAwareness #AccessibilityForAll

💡 The whispers have grown into shouts: Is AI the Terminator of the translation world? 🤖 Let's be honest, the "human vs. machine" narrative is tired. It's like debating whether chocolate or strawberries are better (spoiler alert: both!🍫🍓). 😉 AI is a powerful tool, but it's just that – a tool. It can handle the repetitive, the predictable, the grunt work that bogs down a translator's day. But when it comes to the high notes of creativity, the subtle riffs of cultural understanding, the improvisational brilliance of adapting to context, that's where us translators step in. AI frees us from the mundane, allowing us to focus on the intricacies, the nuances, the soul of the language. So, the next time someone asks if AI will replace translators, I'll say: "Not a chance". It's time to stop seeing AI as a threat and start seeing it as the collaborator it was meant to be.🤝🚀 Share your thoughts! Are you team Human + AI or clinging to the typewriter?  Human and AI translators – partners in crime, or mortal enemies? 🤔 #AIDebate #TranslationRevolution #AIpartnership #HumansVsMachines #TranslationTeam #LinguisticServices #Translation 

The translation world is buzzing with AI developments! But what does it mean for us? 🤔 Here's our take: ✅ AI isn't here to replace human translators ✅ It's a powerful ally, boosting productivity and quality ✅ Human expertise will still be crucial for complex, creative, and sensitive content We see AI and human translators working hand in hand, each bringing their unique strengths to the table. 🤝 What are your thoughts on AI in translation? Will it change how you work? Share below! 👇 #AITranslation #FutureOfLanguage #HumanAICollaboration #TranslationIndustry

𝐓𝐡𝐞 𝐑𝐢𝐬𝐞 𝐨𝐟 𝐀𝐈 𝐖𝐫𝐢𝐭𝐢𝐧𝐠 𝐓𝐨𝐨𝐥𝐬: 𝐅𝐫𝐢𝐞𝐧𝐝 𝐨𝐫 𝐅𝐨𝐞 Kevin Desrosiers VS Stephen Covey AI is not a replacement for human creativity and intuition, but rather a tool to enhance it AI tools that you can start using immediately to help you improve your writing How others are using AI and the ethics involved. Listen to the full interview here: https://ow.ly/OQbK50QKyEh #coach #tellyourstory #happiness #bookpublishers #authorconversations #publishingcompany

LLMs understand not just text but images, videos, and speech too! Here's how they transform our AI dubbing process: 1️⃣ Context Extraction: Summarize content, identify key terms, and grasp style and tone. 2️⃣ Custom Guides: Create translation guides for consistency and client-specific needs. 3️⃣ Smart Translation: Provide nuanced translations that fit timing and maintain meaning. 4️⃣ Cultural Adaptation: Offer culturally relevant alternatives for different audiences. 5️⃣ Multiple Versions: Generate options for the best accuracy and naturalness. With AI and human expertise combined, we’re working smarter, not harder, to make dubbing seamless and faster. https://lnkd.in/epbHCgix #AI #LLMs #Dubbing #AIDubbing

5 key trends in #AI in #journalism, and what they mean. Trend #1 Back-end newsroom automation is on the rise According to Reuters Institute for the Study of Journalism, currently, the most important uses of AI in news organisations are back-end automation tasks (56%), recommendation systems (37%), content creation (28%), commercial uses (27%), product development (25%), and newsgathering (22%). Back-end automation stands out here, as this field and content creation are much more important than two years ago. This is consistent with more specific examples of how newsrooms leverage AI, which includes summarisation, headline testing, copyediting, note-taking, transcription, translation, image generation, and article generation. As you can notice, AI is used for various tasks, but the overall goal is to increase efficiency and productivity. AI is still mostly used as a tool, it doesn’t fundamentally affect how newsrooms operate. For more trends follow my newsletter, The Newsroom of Tomorrow.