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Women in AI: Sophia Velastegui believes AI is moving too fast

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As a part of TechCrunch’s ongoing Women in AI series, which seeks to give AI-focused women academics and others their well-deserved (and overdue) time in the spotlight, TechCrunch interviewed Sophia Velastegui. Velastegui is a member of the National Science Foundation’s (NSF) national AI advisory committee and the former chief AI officer at Microsoft’s business software division.

Velastegui didn’t plan on having a career in AI. She studied mechanical engineering as a Georgia Tech undergrad. But after a job at Apple in 2009, she became fascinated by apps — especially AI-powered ones.

“I started to recognize that AI-infused products resonated with customers, thanks to the feeling of personalization,” Velastegui told TechCrunch. “The possibilities seemed endless for developing AI that could make our lives better at small and large scale, and I wanted to be a part of that revolution. So I started seeking out AI-focused projects and took every opportunity to expand from there.”

AI-forward career

Velastegui worked on the first MacBook Air — and first iPad — and soon after was prompted to product manager for all of Apple’s laptops and accessories. A few years later, Velastegui moved into Apple’s special projects group, where she helped to develop CarPlay, iCloud, Apple Maps, and Apple’s data pipeline and AI systems.

In 2015, Velastegui joined Google as head of silicon architecture and director of the company’s Nest-branded product line. After a brief stint at audio tech company Doppler Labs, she accepted a job offer at Microsoft as general manager of AI products and search.

At Microsoft, where Velastegui eventually came to lead all business app-related AI initiatives, Velastegui guided teams to infuse products such as LinkedIn, Bing, PowerPoint, Outlook, and Azure with AI. She also spearheaded internal explorations and projects built with GPT-3, OpenAI’s text-generating model, to which Microsoft had recently acquired the exclusive license.

“My time at Microsoft truly stands out,” Velastegui said. “I joined the company when it was in the midst of huge changes under CEO Satya Nadella’s leadership. Mentors and peers advised me against making that jump in 2017 because they viewed Microsoft as lagging in the industry. But in a short window, Microsoft had started making real headway in AI, and I wanted in.”

Velastegui left Microsoft in 2022 to start a consulting firm and head product development at Aptiv, the automotive tech company. She joined the NSF’s AI committee, which collaborates with industry, academia, and government to support basic AI research, in 2023.

Navigating the industry

Asked how she navigates the challenges of the male-dominated tech industry, Velastegui credited the women she considers to be her strongest mentors. It’s important that women support each other, Velastegui says — and, perhaps more importantly, that men stand up for their female co-workers.

“For women in tech, if you’ve ever been part of a transformation, adoption, or change management, you have a right to be at the table, so don’t be afraid to take your seat there,” Velastegui said. “Raise your hand to take on more AI responsibilities, whether it’s part of your current job or a stretch project. The best managers will support you and encourage you to keep pushing ahead. But if that’s not feasible in your 9-5, seek out communities or university programs where you can be part of the AI team.”

A lack of diverse viewpoints in the workplace (i.e. AI teams made up mostly of men) can lead to groupthink, Velastegui notes, which is why she advocates that women share feedback as often as they can.

“I strongly encourage more women to get involved in AI so our voices, experiences, and points of view are included at this critical inception point where foundational AI technologies are being defined for now and the future,” she said. “It’s critical that women in every industry really lean into AI. When we join the conversation, we can help shape the industry and change that power imbalance.”

Velastegui says that her work now, with the NSF, focuses on tackling outstanding fundamental issues in AI, like a lack of what she calls “digital representation.” Biases and prejudices pervade today’s AI, she avers, in part due to the homogenous makeup of the companies developing it.

“AI is being trained on data from developers, but developers are mostly men with specific perspectives, and represent a very small subset of the 8 billion people in the world,” she said. “If we’re not including women as developers and if women aren’t providing feedback as users, then AI will not represent them at all.”

Balancing innovation and safety

Velastegui sees the AI industry’s breakneck pace as a “huge issue” — absent a common ethical safety framework, that is. Such a framework, were it ever to be widely embraced, could allow developers to build systems with speed without stifling innovation, she believes.

But she’s not counting on it.

“We’ve never seen technology this transformative evolve at such a relentless pace,” Velastegui said. “People, regulation, legacy systems … nothing has ever had to keep up at the current speed of AI. The challenge becomes how to stay informed, up-to-date, and forward-thinking, while also aware of the dangers if we move too fast.”

How can a company — or developer — create AI products responsibly today? Velastegui champions a “human-centered” approach with learning from past mistakes and prioritizing the well-being of users at its core.

“Companies should empower a diverse, cross-functional AI council that reviews issues and provides recommendations that reflect the current environment,” Velastegui said, “and create channels for regular feedback and oversight that will adapt as the AI system evolves. And there should be channels for regular feedback and oversight that will adapt as AI systems evolves.”



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ElevenLabs’ AI voice generation ‘very likely’ used in a Russian influence operation

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Generative AI has a plethora of well-documented misuses, from making up academic papers to copying artists. And now, it appears to be cropping up in state influence operations.

One recent campaign was “very likely” helped by commercial AI voice generation products, including tech publicly released by the hot startup ElevenLabs, according to a recent report from Massachusetts-based threat intelligence company Recorded Future.

The report describes a Russian-tied campaign designed to undermine Europe’s support for Ukraine, dubbed “Operation Undercut,” that prominently used AI-generated voiceovers on fake or misleading “news” videos.

The videos, which targeted European audiences, attacked Ukrainian politicians as corrupt or questioned the usefulness of military aid to Ukraine, among other themes. For example, one video touted that “even jammers can’t save American Abrams tanks,” referring to devices used by US tanks to deflect incoming missiles – reinforcing the point that sending high-tech armor to Ukraine is pointless.

The report states that the video creators “very likely” used voice-generated AI, including ElevenLabs tech, to make their content appear more legitimate. To verify this, Recorded Future’s researchers submitted the clips to ElevenLabs’ own AI Speech Classifier, which provides the ability for anyone to “detect whether an audio clip was created using ElevenLabs,” and got a match. 

ElevenLabs did not respond to requests for comment. Although Recorded Future noted the likely use of several commercial AI voice generation tools, it did not name any others besides ElevenLabs.

The usefulness of AI voice generation was inadvertently showcased by the influence campaign’s own orchestrators, who – rather sloppily – released some videos with real human voiceovers that had “a discernible Russian accent.” In contrast, the AI-generated voiceovers spoke in multiple European languages like English, French, German, and Polish, with no foreign-soundings accents.

According to Recorded Future, AI also allowed for the misleading clips to be quickly released in multiple languages spoken in Europe like English, German, French, Polish, and Turkish (incidentally, all languages supported by ElevenLabs.)

Recorded Future attributed the activity to the Social Design Agency, a Russia-based organization that the U.S. government sanctioned this March for running “ a network of over 60 websites that impersonated genuine news organizations in Europe, then used bogus social media accounts to amplify the misleading content of the spoofed websites.” All this was done “on behalf of the Government of the Russian Federation,” the U.S. State Department said at the time.

The overall impact of the campaign on public opinion in Europe was minimal, Recorded Future concluded.

This isn’t the first time ElevenLabs’ products have been singled out for alleged misuse.  The company’s tech was behind a robocall impersonating President Joe Biden that urged voters not to go out and vote during a primary election in January 2024, a voice fraud detection company concluded, according to Bloomberg. In response, ElevenLabs said it released new safety features like automatically blocking voices of politicians.

ElevenLabs bans “unauthorized, harmful, or deceptive impersonation” and says it uses various tools to enforce this, such as both automated and human moderation. 

ElevenLabs has experienced explosive growth since its founding in 2022. It recently grew ARR to $80 million from $25 million less than a year earlier, and may soon be valued at $3 billion, TechCrunch previously reported. Its investors include Andreessen Horowitz and former Github CEO Nat Friedman. 



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YouTube’s new auto-dubbing feature is now available for knowledge-focused content

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YouTube announced on Tuesday that its auto-dubbing feature, which allows creators to generate translated audio tracks for their videos, is now rolling out to hundreds of thousands more channels. 

YouTube first introduced its AI-powered auto-dubbing tool at Vidcon last year, which was only being tested with a limited group of creators. This tool could help make content on the platform more accessible and easier to understand for people all over the world.

The auto-dubbing feature is now available to channels that are focused on informational content, such as videos that teach viewers how to cook or sew. It’ll expand availability to other types of content soon. 

To use the feature, simply upload a video as you normally would. YouTube will automatically detect the language and create dubbed versions in other languages. The tool supports English, French, German, Hindi, Indonesian, Italian, Japanese, Portuguese, and Spanish.

Image Credits:YouTube

YouTube’s auto-dubbing utilizes Google’s Gemini capabilities to replicate human speech. However, the company cautions that the feature may not perform perfectly, as the technology is still in its early stages of development.

“We’re working hard to make it as accurate as possible, but there might be times when the translation isn’t quite right, or the dubbed voice doesn’t accurately represent the original speaker. We really appreciate your patience and feedback as we continue to improve,” the company wrote in Tuesday’s blog post. 

The company also reminded creators that they can look forward to another upcoming update called “Expressive Speech,” which is designed to help replicate the creator’s tone, emotions, and even the ambiance of their surroundings.



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CarDekho SEA raises first-ever outside funding, co-founder says he’s interested in acquisitions

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CarDekho SEA, a Singapore-based auto financing service platform, has raised $60 million in equity, valuing the company at over $300 million, from Navis Capital Partners and Dragon Fund. This is its first round of external funding, following a previous investment of $40 million from its parent company, CarDekho Group.

The company, the Southeast Asia unit of India’s CarDekho Group, will use the funding to support its further expansion into Southeast Asia, focusing on the used car and bike financing industry in Indonesia and the used auto financing sector in the Philippines, Umang Kumar, co-founder and president of CarDekho, said in an interview with TechCrunch.  

Kumar told TechCrunch that acquiring a used car financing platform or insurance brokerage platform in Indonesia and the Philippines could be one of its strategies to increase their presence in the region.

“We do have a couple of assets lined up in terms of what we will look at. You may hear something along those lines within a month or two…we will actively look at acquiring activities. The idea is not completely organically built. So we will look at some inorganic acquisition as we build out our business across Southeast,” Kumar said.

Founded in 2020, the company already has a significant presence in Indonesia (OTO Indonesia) and the Philippines (Carmudi Philippines and Zigwheels Philippines). It’s also in a few other Southeast Asian markets, such as Thailand, Singapore, Malaysia, and Vietnam, and is eyeing expansion into new markets in 2026.

Kumar explained that the company initially had a joint venture partner in Indonesia but later bought out the local partner entirely, becoming the 100% owner of the entity between 2019 and 2020. The company’s acquisition spree continues as it acquired Carmudi, which operates in the Philippines, Indonesia, and Thailand, in 2021 to expand into SEA, Kumar explained.

Unlike its peers, CarDekho SEO acts as a comprehensive aggregator for auto financing services. Its main competitor used to be Moladin, which has now pivoted to become a full-fledged lender.  

CarDekho SEA highlights its edges, including its technology-driven loan procedures, asset-light marketplace approach with no credit risk, an extensive network of used car dealers and agents, and solid collaborations with financial institutions. CarDekho SEA will use AI and machine learning solutions to reduce fraud and credit risks and provide more data to their financing partners to succeed in a changing technological environment.

Since its launch, the company has experienced significant growth, with over 200,000 disbursements and over $1 billion in loans disbursed. This represents a 50x increase in gross merchandise value over the past three years and establishing partnerships with over 50 financiers and 20,000 dealers and retail agents.

Its primary customers are small-scale used car dealers, with many having less than ten cars in stock or no physical showroom at all. “Due to their sub-scale presence, financiers often find it challenging to serve them directly,” the CEO said. “Our platform aggregates demand from these individual dealers, connecting them to a wide network of financiers and offering access to a variety of financial products for themselves and their customers—products that were previously inaccessible to them.”

The company is in the scale-up phase, generating upwards of $50 million in revenue annually through per-loan commissions with the financiers.



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