aureka

22/05/2024

📢 New Blog Post Alert! 📢

In our latest blog post, Jan Kühn explores how AI is transforming journalism. From enhancing news writing and fact-checking to personalized content delivery and investigative journalism, AI offers new ways to improve efficiency and accuracy in the media industry.

Learn about six innovative methods to integrate AI into journalism while maintaining high ethical standards and human oversight.

Read the full post here: https://www.aureka.ai/aureka-blog/how-to-use-ai-in-journalism

AI is revolutionizing journalism. This post explores six ways to responsibly integrate AI while maintaining human oversight and ethical standards.

13/05/2024

23/04/2024

In the rapidly evolving landscape of information management, AI-assisted indexing is a groundbreaking tool that transforms how archives, libraries, and museums can manage and provide access to their collections.

Cecilia Maas reflects in our blog about the powerful capabilities of AI to automate and refine the indexing process in order to help professionals efficiently categorize and retrieve vast amounts of data, from historical documents to digital media, enhancing accessibility and discoverability. This technology not only ensures that public records are truly public but also revolutionizes research capabilities by providing deeper insights through enhanced metadata.

✅ AI indexing can help achieve a more thorough and in-depth indexing of large collections
✅ AI can conduct classification tasks with great accuracy, making it easier to broadly implement controlled vocabularies
✅ Summaries generated by generative AI can help those who consult the archive to know if they found what they are looking for

Read full article here:

Artificial intelligence can help save time and ressources and secure a broader access to video and sound collections. This post explains how.

18/04/2024

Very interesting and nuanced report on the use of in Journalism for The Associated Press by Nicholas Diakopoulos , Hannes Cools, Charlotte Li, Natali Helberger, Ernest Kung, Aimee Rinehart, and Lisa Gibbs.

Especially the balance between AI produced content and human supervision is an important task to solve. Other ethical concerns like bias or lack of accuracy are, of course, key factors for the future use of generative AI in journalism.

At aureka, we're developing AI tools for people, companies, and institutions with high standards for accuracy and truthfulness. Making sure that those principles are guaranteed, is one of our main concerns. For example, we're still discussing how exactly we'll use generative AI in the results of our new .

What do you think is the right balance between AI and human input in journalism?



Full report:

16/04/2024

Revolutionizing Research with Semantic Search: In the digital age, many tasks face the challenge of navigating vast data landscapes. Semantic search is our new compass, guiding us to meaning—not just matching keywords—unveiling connections in concepts like "climate change," "global warming," and "CO2 emissions."

The Mechanics of Meaning

But how does it actually work? Semantic search transforms words and phrases into vectors in a multidimensional space, enabling us to locate content by shared meanings, revolutionizing how we find information. This is not just a technical leap but a whole new way to engage with textual data.

Retrieval Augmented Generation (RAG): A New Conversationalist

RAG takes search further by producing context-rich answers. It listens and responds with precision, thanks to Large Language Models (LLM), making every query a two-way interaction with our digital environment.

aureka: Precision at Your Fingertips

aureka is leveraging this technology to empower journalists, podcasters, and researchers to uncover precise content swiftly. Need a quote from past interviews or articles? aureka's semantic search is your efficient and precise solution.

Your Next Step

Ready to upgrade your search capabilities? Connect with aureka for a custom solution. Book a free consultation call now and transform your data discovery process. https://buff.ly/3UjrHWT

15/04/2024

Der Einsatz von im Journalismus ist ein komplexes Thema. Einerseits können neue Technologien die Arbeit erleichtern und sogar gänzlich neue Erkenntnisse befördern, zum Beispiel, wenn es um enorme Datenmengen geht. Andererseits müssen Prinzipien des Journalismus gewahrt bleiben.

Bei aureka legen wir Wert darauf, KI verantwortungsvoll einzusetzen. Ein Beispiel dafür ist der Einsatz einer semantischen Suche, um noch besser die richtigen Stellen im Rohmaterial zu finden. Wie eine solche KI-gestützte Suche funktioniert und welche Vorteile sie bringt, erklärt Jan Kühn in unseren neuesten Blog-Beitrag.

aureka zeigt, wie neue technische Entwicklungen der Künstlichen Intelligenz dabei helfen kann, besseren Journalismus zu machen, ohne dessen Prinzipien zu verletzen.