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Blockchain against sexism; UNESCO tackles AI’s carbon footprint

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Amid the mass infiltration of artificial intelligence (AI) tools in the workplace, experts are expressing concern over the grim prospects of gender bias against women. However, blockchain technology offers a solution to mitigate this risk.

An expert said blockchain is a veritable tool to combat AI prejudices against women in the workplace. Lisa Loud, executive director at Secret Network, warned that the uncontrolled use of AI tools can “perpetuate historical prejudice” against women, widening the existing gender biases.

Loud cites an International Labour Organization (ILO) study underscoring that up to 10% of job roles held by women in high-income countries may be replaced by AI. The dire figures are nearly triple the percentage for men in developed economies, with AI bias appearing in key areas.

The report highlights that administrative and clerical roles, predominantly held by women, are the most accessible targets for generative AI. Furthermore, less than 30% of women have AI-engineering skills, exacerbating the prejudice in training large language models (LLMs).

Despite the neutral narrative, integrating blockchain in LLM systems exposes streaks of gender bias. Loud argues that the widespread use of blockchain “encodes economic rights” for both genders, making it impossible for AI algorithms to act impartially.

Furthermore, the Secret Network executive advocates for on-chain credential wallets to provide a verifiable database for academic data and professional qualifications. With blockchain’s data storage capabilities, AI tools in the workplace will have access to unbiased information to make professional decisions.

Loud is backing the use of smart contract payrolls to ensure automated and equal pay for both genders while providing an immutable and transparent ledger for public verification. Furthermore, blockchain’s watermarking functionality and cryptographic signature support the auditing of workplace decisions reached by AI agents.

Integrating blockchain with AI remains an uphill climb

Despite the benefits of integrating blockchain with AI processes, a real-world application is fraught with challenges. Blockchain’s perceived complexity stands as a stumbling block for several firms keen on integrating it, but Loud argues that the complexity is evident in proprietary data sets.

She added that the relationship between the two emerging technologies is symbiotic, with AI playing a key role in optimizing blockchain systems. Aware of their transformative benefits, a raft of nations like Nigeria are pledging to train citizens in blockchain and AI technologies.

Small acts in reducing AI’s energy consumption

Still within the AI sector, a United Nations Educational, Scientific and Cultural Organization (UNESCO) report has revealed strategies to reduce the skyrocketing energy consumption metrics for AI models.

The UN agency disclosed that reducing the number of characters in queries can reduce AI energy footprints by up to 90%. The report, unveiled at the AI for Good global summit, added that turning to specific models can improve energy consumption without reducing performance.

OpenAI CEO Sam Altman said that a single ChatGPT query uses 0.34 kWh, nearly 70 times as much as a Google Search. In a day, the LLM receives a little over a billion queries, translating to 310 GWh per year, equalling the energy consumption of a small nation.

Given ChatGPT’s exponential growth rate, energy experts are predicting a near-term spike in electricity consumption levels. Other AI companies, like ChatGPT, are also grappling with soaring energy costs and exploring strategies to reduce their steep electricity bills.

“The exponential growth in computational power needed to run these models is placing increasing strain on global energy systems, water resources, and critical minerals, raising concerns about environmental sustainability, equitable access, and competition over limited resources,” read the report.

The UNESCO report confirmed that slashing prompts from 300 to 150 words marked decreased energy consumption levels. Furthermore, ditching general LLMs for specific models suited to the task at hand contributed to the falling metrics.

Aware of the energy strain, OpenAI has launched GPT-4o mini, a specific model with fewer parameters. Microsoft (NASDAQ: MSFT) and Google have also thrown their hats into the ring with their range of lightweight models, scoring wins with Gemma and Phi-3, respectively.

Models like Gemini and ChatGPT are broad, requiring higher amounts of electricity to sift through mountains of data to generate a response.

Technology companies are exploring alternative energy sources

While using shorter queries and miniature versions of LLMs is in the hands of consumers, technology companies are exploring energy efficiency systems. For starters, AI firms are throwing their weight behind alternative energy sources, forming the subject of a raft of bilateral agreements.

Microsoft is investing in several countries, improving renewable energy and emerging technology research to optimize its data center electricity consumption levels. A new report predicts that AI in renewable energy will reach $4.6 billion by 2032, rising at a compound annual growth rate (CAGR) of 22%.

In order for artificial intelligence (AI) to work right within the law and thrive in the face of growing challenges, it needs to integrate an enterprise blockchain system that ensures data input quality and ownership—allowing it to keep data safe while also guaranteeing the immutability of data. Check out CoinGeek’s coverage on this emerging tech to learn more why Enterprise blockchain will be the backbone of AI.

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New AI Partnerships Could Be a Game Changer for DXC Technology (DXC)

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  • DXC Technology recently announced partnerships with startups Acumino, CAMB.AI, and GreenMatterAI to advance AI solutions in the automotive and manufacturing industries, focusing on smart factory robotics, real-time speech translation, and synthetic data projects.
  • This collaboration, made as part of the STARTUP AUTOBAHN initiative, highlights DXC’s commitment to transforming emerging technology into practical industry impact by accelerating AI adoption.
  • We’ll examine how these new AI partnerships could reshape DXC Technology’s investment narrative and long-term prospects in digital transformation.

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DXC Technology Investment Narrative Recap

To be a shareholder in DXC Technology today, you need to believe that the company’s efforts in digital transformation and AI can counter persistent revenue declines and revive organic growth. While the new partnerships with Acumino, CAMB.AI, and GreenMatterAI showcase momentum in AI, the immediate effect on stabilizing short-term revenues or addressing the ongoing decline in the GIS segment is likely to be modest, given the inherent scale and timing of these projects.

Of recent announcements, DXC’s deal to create the DXC Agentic Security Operations Center with 7AI stands out as especially relevant alongside the new automotive and manufacturing AI partnerships. This reflects a deepening focus on expanding digital offerings through AI-driven solutions, which underpins the most important catalyst for the stock: improved client demand and bookings growth from digital modernization, even as near-term performance remains pressured.

However, investors should not overlook that, despite these innovation efforts, persistent challenges in revenue and margin stabilization continue to weigh on the company’s outlook, especially if…

Read the full narrative on DXC Technology (it’s free!)

DXC Technology’s outlook projects $12.1 billion in revenue and $208.6 million in earnings by 2028. This implies a 1.7% annual revenue decline and a $170.4 million decrease in earnings from the current $379.0 million.

Uncover how DXC Technology’s forecasts yield a $15.12 fair value, in line with its current price.

Exploring Other Perspectives

DXC Community Fair Values as at Sep 2025

Six Simply Wall St Community members estimate DXC’s fair value between US$8.06 and US$261.89, indicating significant differences in growth assumptions. Balance these viewpoints with persistent risks to revenue and backlog conversion that could impact near-term earnings and investor sentiment.

Explore 6 other fair value estimates on DXC Technology – why the stock might be worth 46% less than the current price!

Build Your Own DXC Technology Narrative

Disagree with existing narratives? Create your own in under 3 minutes – extraordinary investment returns rarely come from following the herd.

Interested In Other Possibilities?

Opportunities like this don’t last. These are today’s most promising picks. Check them out now:

This article by Simply Wall St is general in nature. We provide commentary based on historical data
and analyst forecasts only using an unbiased methodology and our articles are not intended to be financial advice.
It does not constitute a recommendation to buy or sell any stock, and does not take account of your objectives, or your
financial situation. We aim to bring you long-term focused analysis driven by fundamental data.
Note that our analysis may not factor in the latest price-sensitive company announcements or qualitative material.
Simply Wall St has no position in any stocks mentioned.

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Will Sea Dagger’s AI-Driven Tech Shift Leidos Holdings’ (LDOS) Role in Government Defense Contracts?

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  • Leidos recently unveiled the Sea Dagger, a next-generation Commando Insertion Craft for the Royal Navy, featuring high speed, modular mission systems, and autonomous technologies tailored for modern maritime operations.
  • This unveiling positions Leidos as a prominent innovator in advanced maritime defense solutions, aligning with major UK and AUKUS defense modernization priorities.
  • We’ll explore how the Sea Dagger launch, leveraging autonomy and AI, could shape Leidos Holdings’ government contract growth outlook.

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Leidos Holdings Investment Narrative Recap

To be a shareholder in Leidos Holdings, you need confidence in the company’s ability to capture long-term government spending on defense modernization and advanced technology, while managing its reliance on large public sector contracts. The announcement of Sea Dagger enhances Leidos’ credentials in maritime autonomy and aligns with top spending priorities, but gives only an incremental boost to near-term government contract momentum, which remains the company’s key catalyst. The largest risk continues to be shifts in government funding priorities, which could disrupt expected revenue growth if budgets tighten.

Among recent developments, Leidos winning a $128 million FBI task order for agile software development illustrates how its expertise in secure, high-tech government solutions is translating into new business opportunities. This aligns with the same digital innovation and defense modernization themes seen in the Sea Dagger project, further supporting the company’s biggest catalyst: continued multi-year growth in national security and technology contracts.

Yet, despite these advances, if defense spending priorities change faster than expected, investors need to be aware that…

Read the full narrative on Leidos Holdings (it’s free!)

Leidos Holdings is projected to reach $18.6 billion in revenue and $1.5 billion in earnings by 2028. This outlook requires a 3.0% annual revenue growth rate and a $0.1 billion increase in earnings from the current $1.4 billion.

Uncover how Leidos Holdings’ forecasts yield a $186.69 fair value, a 4% upside to its current price.

Exploring Other Perspectives

LDOS Community Fair Values as at Sep 2025

Eight fair value estimates from the Simply Wall St Community range from US$102 to US$285.81. While high expectations for government modernization support optimism, investor forecasts remind you opinions vary widely and signal multiple possible outcomes for Leidos’ future.

Explore 8 other fair value estimates on Leidos Holdings – why the stock might be worth as much as 60% more than the current price!

Build Your Own Leidos Holdings Narrative

Disagree with existing narratives? Create your own in under 3 minutes – extraordinary investment returns rarely come from following the herd.

Ready To Venture Into Other Investment Styles?

Early movers are already taking notice. See the stocks they’re targeting before they’ve flown the coop:

This article by Simply Wall St is general in nature. We provide commentary based on historical data
and analyst forecasts only using an unbiased methodology and our articles are not intended to be financial advice.
It does not constitute a recommendation to buy or sell any stock, and does not take account of your objectives, or your
financial situation. We aim to bring you long-term focused analysis driven by fundamental data.
Note that our analysis may not factor in the latest price-sensitive company announcements or qualitative material.
Simply Wall St has no position in any stocks mentioned.

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AI giant Anthropic to pay $1.5 bn over pirated books

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Anthropic, led by CEO Dario Amodei, recently closed a $13 billion funding round that it said values the generative artificial intelligence startup at $183 billion.

Anthropic will pay at least $1.5 billion to settle a US class action lawsuit over allegedly using pirated books to train its artificial intelligence models, according to court documents filed Friday.

“This landmark settlement far surpasses any other known copyright recovery,” said plaintiffs’ attorney Justin Nelson. “It is the first of its kind in the AI era.”

The settlement stems from a class-action lawsuit filed by authors Andrea Bartz, Charles Graeber, and Kirk Wallace Johnson, who accused Anthropic of illegally copying their books to train Claude, the company’s AI chatbot that rivals ChatGPT.

In a partial victory for Anthropic, US District Court Judge William Alsup ruled in June that the company’s training of its Claude AI models with books—whether bought or pirated—so transformed the works that it constituted “fair use” under the law.

“The technology at issue was among the most transformative many of us will see in our lifetimes,” Alsup wrote in his decision, comparing AI training to how humans learn by reading books.

However, Alsup rejected Anthropic’s bid for blanket protection, ruling that the company’s practice of downloading millions of pirated books to build a permanent digital library was not justified by fair use protections.

“We remain committed to developing safe AI systems that help people and organizations extend their capabilities, advance , and solve ,” Anthropic deputy general counsel Aparna Sridhar said in response to an AFP inquiry.

San Francisco-based Anthropic announced this week that it raised $13 billion in a funding round valuing the AI startup at $183 billion.

Anthropic competes with generative artificial intelligence offerings from Google, OpenAI, Meta, and Microsoft in a race that is expected to attract hundreds of billions of dollars in investment over the next few years.

Thousands of books

According to the legal filing, the settlement covers approximately 500,000 books, translating to roughly $3,000 per work—four times the minimum statutory damages under US copyright law.

Under the agreement, Anthropic will destroy the original pirated files and any copies made, though the company retains rights to books it legally purchased and scanned.

Tech giant Apple announced upgrades to its AI system 'Apple Intelligence' in June of 2025
Tech giant Apple announced upgrades to its AI system ‘Apple Intelligence’ in June of 2025.

“This settlement sends a strong message to the AI industry that there are serious consequences when they pirate authors’ works to train their AI, robbing those least able to afford it,” said Mary Rasenberger, CEO of the Authors Guild, in a statement supporting the deal.

The settlement, which requires judicial approval, comes as AI companies face growing legal pressure over their training practices.

A US judge in June handed Meta a victory over authors who accused the tech giant of violating copyright law by training Llama AI on their creations without permission.

District Court Judge Vince Chhabria in San Francisco ruled that Meta’s use of the works to train its AI model was “transformative” enough to constitute “fair use” under copyright law.

Apple Intelligence

Meanwhile, Apple on Friday was targeted with a lawsuit by a pair of US authors accusing the iPhone maker of using pirated books to train generative AI built into its lineup of devices.

The tech titan’s suite of capabilities called “Apple Intelligence” is part of a move to show it is not being left behind in the AI race.

“To train the generative-AI models that are part of Apple Intelligence, Apple first amassed an enormous library of data,” read the suit.

“Part of Apple’s data library includes copyrighted works—including books created by plaintiffs—that were copied without author consent, credit, or compensation.”

Apple “scraped” works from sources including “shadow libraries” stocked with pirated books, the suit contends.

Apple did not immediately reply to a request for comment.

The suit filed against Apple by Grady Hendrix, author of “My Best Friend’s Exorcism,” and Jennifer Roberson of Arizon, whose books include “Sword-Bound,” seeks class action status.

© 2025 AFP

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AI giant Anthropic to pay $1.5 bn over pirated books (2025, September 6)
retrieved 6 September 2025
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