Technology
Women in AI: Anna Korhonen explores the intersection of linguistics and artificial intelligence

To give female AI academics and others their well-deserved – and overdue – time in the highlight, TechCrunch is launching a series of interviews specializing in the extraordinary women who’re contributing to the AI revolution. As the AI boom continues, we are going to publish several articles throughout the 12 months, highlighting key work that always goes unnoticed. Read more profiles here.
Anna Korhonen is a professor of natural language processing (NLP) at the University of Adam Mickiewicz University in Poznań University of Cambridge. She is also senior research fellow at Churchill Collegemember of the Association of Computational Linguistics, and worker of the European Laboratory for Learning and Intelligent Systems.
Korhonen was previously an worker Alan Turing, holds a PhD in computer science and a master’s degree in computer science and linguistics. She researches NLP and how developing, adapting and applying computational techniques to satisfy the needs of artificial intelligence. He has special interests in responsible and “human-centered” NLP, which, as she says, “draws on an understanding of human cognitive, social and creative intelligence.”
Questions & Answers
Briefly speaking, how did you start in artificial intelligence? What drew you to the field?
I even have at all times been fascinated by the beauty and complexity of human intelligence, especially because it pertains to human language. However, my interest in STEM subjects and practical applications led me to review engineering and computer science. I selected to specialize in AI since it is a field that enables me to mix all of these interests.
What work in AI are you most proud of?
While learning easy methods to construct intelligent machines is fascinating and it will probably be easy to wander away in the world of language modeling, the ultimate reason we construct artificial intelligence is its practical potential. I’m most proud of the work where my fundamental research in natural language processing has led to the development of tools that may support social and global good. For example, tools that may help us higher understand how diseases like cancer and dementia develop and how they will be treated, or apps that may support education.
Much of my current research is driven by my mission to develop artificial intelligence that may improve people’s lives. Artificial intelligence has enormous positive potential for social and global good. A giant part of my job as an educator is to encourage the next generation of AI scientists and leaders to deal with realizing this potential.
How do you take care of the challenges of the male-dominated tech industry, and by extension, the male-dominated AI industry?
I’m lucky to work in the field of artificial intelligence, where we even have a major female population and well-established support networks. I find them extremely helpful in coping with skilled and personal challenges.
For me, the biggest problem is the way this male-dominated industry sets the agenda around AI. An ideal example is the current arms race to develop increasingly larger artificial intelligence models in any respect costs. This has a profound impact on the priorities of each academia and industry, in addition to wide-ranging socio-economic and environmental implications. Do we want larger models and what are their global costs and advantages? I believe we’d have asked these questions much earlier if we had a greater gender balance on the pitch.
What advice would you give to women wanting to start out working in the AI industry?
Artificial intelligence desperately needs more women in any respect levels, but especially in leadership. The current leadership culture will not be necessarily attractive to women, but lively engagement can change that culture – and ultimately the culture of AI. Women aren’t at all times great at supporting one another. I would love to see a change of attitude in this regard: if we would like to realize a greater gender balance in this field, we want to actively network and help one another.
What are the most pressing issues facing artificial intelligence because it evolves?
Artificial intelligence has developed incredibly quickly: in lower than a decade, it has evolved from an instructional field to a worldwide phenomenon. During this time, most of the effort was dedicated to scaling massive data and computation. Little effort has been put into considering how this technology must be developed to best serve humanity. People have good reason to fret about the safety and credibility of artificial intelligence and its impact on jobs, democracy, the environment and other areas. We must urgently put human needs and security at the heart of AI development.
What issues should AI users remember of?
Current AI, even when it appears very fluid, ultimately lacks human knowledge of the world and the ability to grasp the complex social contexts and norms in which we operate. Even the best technology today makes mistakes, and our ability to stop or predict them is proscribed. Artificial intelligence could be a very great tool for a lot of tasks, but I would not trust it to teach my children or make essential decisions for me. We the people should remain in power.
What is the best method to construct AI responsibly?
Artificial intelligence developers are inclined to take into consideration ethics as an afterthought – after developing the technology. The best method to give it some thought is that any development begins. Questions like: “Do I have a diverse enough team to develop an equitable system?” or “Is my data truly free and representative of all user populations?” or “Are my techniques solid?” you actually should ask at the starting.
While we are able to solve some of this problem through education, we are able to only implement it through regulation. The recent development of national and global regulations around artificial intelligence is essential and must proceed to make sure that future technologies are safer and trustworthy.
How can investors higher promote responsible AI?
Artificial intelligence regulations are emerging and corporations will ultimately should adapt to them. We can see responsible AI as sustainable AI that is actually price investing in.
Technology
The next large Openai plant will not be worn: Report

Opeli pushed generative artificial intelligence into public consciousness. Now it might probably develop a very different variety of AI device.
According to WSJ reportThe general director of Opeli, Altman himself, told employees on Wednesday that one other large product of the corporate would not be worn. Instead, it will be compact, without the screen of the device, fully aware of the user’s environment. Small enough to sit down on the desk or slot in your pocket, Altman described it each as a “third device” next to MacBook Pro and iPhone, in addition to “Comrade AI” integrated with on a regular basis life.
The preview took place after the OpenAI announced that he was purchased by IO, a startup founded last 12 months by the previous Apple Joni Ive designer, in a capital agreement value $ 6.5 billion. I will take a key creative and design role at Openai.
Altman reportedly told employees that the acquisition can ultimately add 1 trillion USD to the corporate conveyorsWearing devices or glasses that got other outfits.
Altman reportedly also emphasized to the staff that the key would be crucial to stop the copying of competitors before starting. As it seems, the recording of his comments leaked to the journal, asking questions on how much he can trust his team and the way rather more he will be able to reveal.
(Tagstotransate) devices
Technology
The latest model AI Google Gemma can work on phones

It grows “open” AI Google, Gemma, grows.
While Google I/O 2025 On Tuesday, Google removed Gemma 3N compresses, a model designed for “liquid” on phones, laptops and tablets. According to Google, available in a preview starting on Tuesday, Gemma 3N can support sound, text, paintings and flicks.
Models efficient enough to operate in offline mode and without the necessity to calculate within the cloud have gained popularity within the AI community lately. They will not be only cheaper to make use of than large models, but they keep privacy, eliminating the necessity to send data to a distant data center.
During the speech to I/O product manager, Gemma Gus Martins said that GEMMA 3N can work on devices with lower than 2 GB of RAM. “Gemma 3N shares the same architecture as Gemini Nano, and is also designed for incredible performance,” he added.
In addition to Gemma 3N, Google releases Medgemma through the AI developer foundation program. According to Medgemma, it’s essentially the most talented model to research text and health -related images.
“Medgemma (IS) OUR (…) A collection of open models to understand the text and multimodal image (health),” said Martins. “Medgemma works great in various imaging and text applications, thanks to which developers (…) could adapt the models to their own health applications.”
Also on the horizon there may be SignGEMMA, an open model for signaling sign language right into a spoken language. Google claims that Signgemma will allow programmers to create recent applications and integration for users of deaf and hard.
“SIGNGEMMA is a new family of models trained to translate sign language into a spoken text, but preferably in the American sign and English,” said Martins. “This is the most talented model of understanding sign language in history and we are looking forward to you-programmers, deaf and hard communities-to take this base and build with it.”
It is value noting that Gemma has been criticized for non -standard, non -standard license conditions, which in accordance with some developers adopted models with a dangerous proposal. However, this didn’t discourage programmers from downloading Gemma models tens of tens of millions of times.
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(Tagstransate) gemma
Technology
Trump to sign a criminalizing account of porn revenge and clear deep cabinets

President Donald Trump is predicted to sign the act on Take It Down, a bilateral law that introduces more severe punishments for distributing clear images, including deep wardrobes and pornography of revenge.
The Act criminalizes the publication of such photos, regardless of whether or not they are authentic or generated AI. Whoever publishes photos or videos can face penalty, including a advantageous, deprivation of liberty and restitution.
According to the brand new law, media firms and web platforms must remove such materials inside 48 hours of termination of the victim. Platforms must also take steps to remove the duplicate content.
Many states have already banned clear sexual desems and pornography of revenge, but for the primary time federal regulatory authorities will enter to impose restrictions on web firms.
The first lady Melania Trump lobbyed for the law, which was sponsored by the senators Ted Cruz (R-TEXAS) and Amy Klobuchar (d-minn.). Cruz said he inspired him to act after hearing that Snapchat for nearly a 12 months refused to remove a deep displacement of a 14-year-old girl.
Proponents of freedom of speech and a group of digital rights aroused concerns, saying that the law is Too wide And it will probably lead to censorship of legal photos, similar to legal pornography, in addition to government critics.
(Tagstransate) AI
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