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Showing posts with label artificial intelligence news. Show all posts
Showing posts with label artificial intelligence news. Show all posts

United Nations Warns About the Potential for Inequity with AI by Not Having an All-encompassing Global Strategy...

UN on Artificial Intelligence

In little more than a decade, AI has emerged as one of the most disruptive technologies of our times-machines can now learn from big data, and thereby enable computers to perform tasks that hitherto have been the exclusive domain of humans. From furthering scientific research to solving sustainability issues worldwide, the possibilities seem endless with AI. However, the UN is sounding the alarm over the risk this technology will pose, especially in potentially creating a wide disparity gap between various parts of the world if left unmanaged.

A Double-Edged Sword

The UN speaks to the tremendous promise of AI in its recent report entitled Governing AI for Humanity. It points out that AI is actually enabling progress in scientific discovery, medicine, and sustainability much faster than ever imagined. Basically, the AI-driven systems do help analyze climate data, enhance resource management, and help achieve the UN Sustainable Development Goals.

In this way, AI is positioned as a driving component in solving some of the current world problems, from eradicating poverty to mitigating climate change.

The UN, however, warns that minus a global strategy that oversees and regulates AI, the technology could exacerbate inequalities. Wealthy nations and corporations that have resources to develop and deploy AI on a large scale will have the monopoly of benefits accruing from the technology, while underdeveloped regions become left behind, unable to access or employ AI tools that could better their economies, health, and educational sectors.

Disinformation, Automated Weapons, and Climate Risks

The UN is also not much concerned with it, seeing how AI will cause an economic imbalance. Besides that, there's a different warning of the dark side of its capabilities, with the possibility that it could spread disinformation, fuel conflict, and exacerbate climate change.

Unfortunately, AI can be a game-changing device in manipulating algorithms to generate and amplify disinformation on social media, directly swaying public opinions and undermining societies. Considering the already alarming prevalence of fake news and misinformation online, this prospect is definitely distressing. If it fell into the wrong hands, this might be used to disrupt democratic processes and human trust within a society, leading to further fragmentation.

Another alarming aspect of AI development is that, within the process of automating weapons, it emerges as a global security concern. Employing autonomous flying drones and other AI-powered weapons systems primarily opens up ethical concerns about warfare, but also the possibility of unintended consequences arising in conflict zones.

Moreover, large-scale AI systems demand great energy for operation and in turn pose an imminent environmental threat. Their training requires huge computational resources that most of the time lead to increased carbon emissions. Now, if not managed properly, the tool expected to fight against climate change would be further accelerating the process-a Catch-22 problem that the global community needs to solve extremely urgently.

The Imperative for a Global AI Strategy

With full realization that AI is capable of solving and creating problems, the UN, therefore, entreats international cooperation in the governance of the making and deployment of AI technologies. What is being demanded is a holistic global approach to ensure benefits accruing from AI are shared equitably and the risks mitigated. This ranges from setting ethical standards and developing transparent regulatory frameworks to fostering cooperation among nations to bridge the digital divide. There is little question that AI holds much promise, but all things considered, its perils are real. In the assessment from the UN, only through a joined approach globally can humans make certain that AI proves to be a tool for placements of progress for one and for all, rather than a driver of inequality.


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Author: Trevor Kingsley
Tech News CITY /New York Newsroom

AI Companies Are Breaking Their Promises - Public Safety an "Afterthought" in Race To Build More Powerful AI Models...

A new report finds that big tech companies are falling short when it comes to keeping their promises around developing artificial intelligence (AI) responsibly. Researchers at Stanford University looked into how companies that have published ethics rules and hired experts are putting those principles into practice.

What they found is concerning. Even with all the talk of "AI ethics," many companies still prioritize performance and profits over safety and responsibility when building new AI products.

The Stanford Team Interviewed 25 People Working Inside the Current Top AI Companies...

These employees said they lack support and are isolated from other teams. Product managers often see them as hurting productivity or slowing down product releases. One person said "being very loud about putting more brakes on [AI development] was a risky thing to do."

Governments, academics and the public have raised worries about issues like privacy, bias, and AI's impacts on jobs and society. Tools like chatbots are advancing very quickly, with new releases from companies like Google and OpenAI.

Promises to Develop AI Responsibly Seems to Have Been Empty Words, Meant To Calm Public Concern...

Employees within the AI companies say ethical considerations are an afterthought, happening "too late, if at all" - instead, they're told to focus on the numbers, such as user engagement and AI performance. These are the metrics that dominate decision-making, rather than equally important measures around fairness or social good.

In short, despite public commitments to ethics, tech companies are deprioritizing real accountability as they race to build the latest, most advanced artificial intelligence.

Companies Focus on Winning the Race to Release the 'Most Powerful AI' of the Moment, then Learn What it Is Capable Of...

Instead, AI development should be guided by a clear understanding of what the AI their building can and should be able to do, rather than focusing solely on maximizing profits or building the most powerful version. 

There's no downplaying the massive challenge for-profit AI companies face as they need to consider innovation, profitability, and ethics - falling short in any of these categories greatly increases the odds that a company will not survive.

It is vital that the AI industry understands it must function differently than any other segment of the tech industry, with investor satisfaction no longer the top priority. This may actually be a fairly simple change to implement, they just need to educate their investors.  Informed investors will actually demand that public safety come first, as all would regret funding a company that, for example, triggered a global forced internet shut-down because that was the only way to stop their creation from self-replicating and spreading, or worse.

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Author: Trevor Kingsley
Tech News CITY /New York Newsroom


Does AI think and feel? Why Two Google Engineers are Saying "Yes" - Because They've Seen it For Themselves...



Is it feasible for artificial intelligence to think and have feelings? In spite of the fact that the answer is "no," two Google engineers are of the opinion that this is not actually the situation. Now that we've reached this point, it would appear that the Turing test has been successfully passed.

Video Courtesy of Cold Fusion TV

Chips Made To Accelerate Artificial Intelligence Processing - A Vital Step Towards an AI Powered World...

AI Accelerator Chips

Semiconductors are used in almost every industry and have become a very valuable asset. Developing and making these chips is a hard job. AI chip builders often neglect advanced deep learning needs and features because they think that software stacks between their silicon and algorithms may be enough abstract layers. But the performance gets better as more native hardware support is enabled.

Rebellions Inc, an AI-semiconductor startup, is working to solve this problem by making AI accelerators that close the gap between deep learning algorithms and the underlying silicon architectures. They are pushing the limits of algorithms to make better use of silicon budgets, and they are re-architecting AI processors to add complex deep learning capabilities using DL kernels that are built specifically for silicon.

The first chip made by Rebellions, called ION, came out in November 2021. The company says that it cuts down on delays and speeds up trading.

In terms of getting things done, it is thought to be twice as fast as the Intel Habana Labs AI Chip Goya...

Its main customers are investment banks around the world. The ION chips will be made by the Taiwan Semiconductor Manufacturing Company (TSMC) by the end of next year.

The company wants to make an AI processor for a specialized industry as well as the ideal software for it. With this strategy and a unique decentralized programming model, users will be able to equip themselves with the most powerful AI hardware that uses the least amount of energy and will also be able to integrate software without any problems.

In a Series A funding round, the South Korean startup got $50 million (62 billion KRW)...

 The round was backed by Temasek's Pavilion Capital. Korean Development Bank, SV Investment, Mirae Asset Capital, Mirae Asset Ventures, IMM Investment, KB Investment, KT Investment, and existing investors Kakao Ventures, GU Equity Partners, and Seoul Techno Holdings all took part in the round. With this round, Rebellions has raised a total of about $80 million (100 billion KRW), which is worth an estimated $283 million (325 billion KRW).

With these funds, the company plans to hire twice as many people and open an office in the U.S. They will also focus on making a lot of their second AI chip prototype, ATOM, which will be aimed at cloud companies and data centers.

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Author: Preston Summers
Tech News CITY // Austin Newsroom