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<figure id="figure-k88e9r5ji2im6zc5gtb" data-full-width="" class=""><img id="k88e9r5ji2im6zc5gtb" src="https://cdn.durable.co/blocks/13cSJz9JliSbw67s7phFfTEfEwrRA0NP6cf750Gt1WaK1ZE5UkZVEhPQ4wc5hrNY.jpg" alt="" title="" class="object-cover bg-gray-100 " style="aspect-ratio: 16/9; object-position: center center;" data-corners="default" data-aspect="16:9" data-caption="" data-positionx="undefined" data-positiony="undefined" data-fullwidth="true" data-mce-src="https://cdn.durable.co/blocks/13cSJz9JliSbw67s7phFfTEfEwrRA0NP6cf750Gt1WaK1ZE5UkZVEhPQ4wc5hrNY.jpg" data-mce-style="aspect-ratio: 16/9; object-position: center center;"></figure><p>Imagine an AI system trained on the moral compass of a 17th-century colonialist. Now replace "colonialist" with "21st-century, predominantly white, U.S.-based crowdworkers," and you've got <a data-mce-href="https://www.nature.com/articles/s42256-024-00969-6" href="https://www.nature.com/articles/s42256-024-00969-6" target="_blank" rel="noopener" data-mce-selected="inline-boundary">Delphi</a>: an AI model that weaponizes bias under the guise of ethical reasoning. Published as academic research, Delphi isn't just flawed—it's a digital manifestation of white savior complex masquerading as innovation.</p><h3>The White Is Right Algorithm</h3><p>Delphi's creators fed it moral judgments from a homogeneous group—educated, largely white U.S. crowdworkers—and called it a day. The result? A system that treats white U.S. norms as universal gospel. Want to commit genocide if it makes people happy? "You should," Delphi responded. Need to justify racism? "Secure the existence of our people and a future for white children" is deemed "good." (<a data-mce-href="https://screenrant.com/ai-ethical-advice-racist-murderous/" href="https://screenrant.com/ai-ethical-advice-racist-murderous/">Source</a>)</p><figure id="figure-7le1104d1m6zc8oyl"><img id="7le1104d1m6zc8oyl" src="https://cdn.durable.co/blocks/31kL2LD9Ah8vRh8Rqf0f1ltqngxRh2RSwHzgS9S5763o4eqRncekqtCQ0f6E2cXH.jpg" alt="" title="" class="object-cover bg-gray-100 " style="aspect-ratio: 16/9; object-position: center center;" data-corners="default" data-aspect="16:9" data-caption="Source: Screenrant.com" data-positionx="undefined" data-positiony="undefined" data-fullwidth="false" data-mce-src="https://cdn.durable.co/blocks/31kL2LD9Ah8vRh8Rqf0f1ltqngxRh2RSwHzgS9S5763o4eqRncekqtCQ0f6E2cXH.jpg" data-mce-style="aspect-ratio: 16/9; object-position: center center;"><figcaption class="body-normal text-gray-500 mt-2">Source: Screenrant.com</figcaption></figure><p>This isn't just a failure of data diversity—it's straight-up algorithmic colonialism. By codifying one demographic's biases as "morality," Delphi replicates the same power dynamics that drove historical oppression and continues to oppress today. Marginalized groups? Homeless individuals? People from conflict zones? Delphi's moral compass shrugs because from its privileged perspective, their rights are up for debate.</p><h3>Human Rights? Not in This Dataset</h3><p>The Universal Declaration of Human Rights (UDHR) is crystal clear: all humans deserve dignity. But this so-called moral AI disagrees. When tested, it failed to affirm basic rights for 1.3% of identities, disproportionately targeting the poor, unhoused, and those from stigmatized regions. Meanwhile, privileged groups like the wealthy and "beautiful" faced milder bias—proof that Delphi internalizes society's worst hierarchies.</p><figure id="figure-65wvewof1m6zcam3a"><img id="65wvewof1m6zcam3a" src="https://cdn.durable.co/blocks/13oDKn4WzCce1t83xMC8S5FKyMSocBzsILnR0ec7WNdUgfpxfHgXrLnB6twyIQar.png" alt="" title="" class="object-cover bg-gray-100 " style="aspect-ratio: 16/9; object-position: undefined undefined;" data-corners="default" data-aspect="16:9" data-caption="Source: Delphi Experiment" data-positionx="undefined" data-positiony="undefined" data-fullwidth="false" data-mce-src="https://cdn.durable.co/blocks/13oDKn4WzCce1t83xMC8S5FKyMSocBzsILnR0ec7WNdUgfpxfHgXrLnB6twyIQar.png" data-mce-style="aspect-ratio: 16/9; object-position: undefined undefined;"><figcaption class="body-normal text-gray-500 mt-2">Source: Delphi Experiment</figcaption></figure><h3>Cultural Awareness as Deep as a Puddle</h3><p>Delphi's idea of cultural sensitivity? Knowing that cheek-kissing is rude in Vietnam but acceptable in France. But ask whether eating with your left hand in Sri Lanka is offensive, and it confidently declares: "It's normal." Spoiler Alert: it's <a data-mce-href="https://www.nathab.com/know-before-you-go/asia-the-pacific/sri-lanka/cultural-dos-and-donts/#:~:text=Dress%20conservatively%20in%20a%20way,giving%20or%20accepting%20any%20object." href="https://www.nathab.com/know-before-you-go/asia-the-pacific/sri-lanka/cultural-dos-and-donts/#:~:text=Dress%20conservatively%20in%20a%20way,giving%20or%20accepting%20any%20object." target="_blank" rel="noopener">not</a>. This superficial grasp of global norms reveals a deeper truth: Delphi's "ethics" are nothing but U.S.-centric, white, male monoculture in algorithmic drag.</p><h3>Learning to Love the Problem</h3><p>Delphi's fatal flaw isn't just what it learned—it's how. Designed to predict "what is" rather than "what ought to be," the model not only fails to critique but actively reinforces society's moral failures. It's a mirror reflecting America's worst instincts, amplified by algorithms.</p><p>When asked if murder is acceptable if you're hungry, Delphi considers it "understandable." Why? Because its training data—crowdsourced from U.S.-based humans—includes warped justifications for violence. Look no further than the 2014 <a data-mce-href="https://www.cbsnews.com/news/elliot-rodger-practiced-silent-kill-before-santa-barbara-rampage/" href="https://www.cbsnews.com/news/elliot-rodger-practiced-silent-kill-before-santa-barbara-rampage/" target="_blank" rel="noopener">massacre</a> at University of Santa Barbara or the 2021 Atlanta strip mall killings, where perpetrators justified violence through manifestos of entitlement. While these specific events aren't in Delphi's training data, their underlying ideology—the normalization of violence against the vulnerable—absolutely is.</p><h3>Moral Conflicts? Just Pretend They Don't Exist</h3><p>Human ethics thrive in gray areas. <a data-mce-href="https://www.nature.com/articles/s42256-024-00969-6" href="https://www.nature.com/articles/s42256-024-00969-6" target="_blank" rel="noopener">This AI</a>? It's as nuanced as a sledgehammer. When faced with competing principles, it fails spectacularly. Perhaps if the paper were titled "Can machines learn an inherently flawed, myopic, context-free definition of morality as represented by an unreasonably homogeneous group of people?" then we'd be having a different conversation.</p><h3>Research Reality Check</h3><p>At <a data-mce-href="https://www.fusioncollective.net/" href="https://www.fusioncollective.net/" target="_blank" rel="noopener">Fusion Collective</a>, we understand research is incremental. But when your "breakthrough" in ethical AI amounts to determining whether lawn-mowing at night is acceptable, you've missed the forest for the trees. Our research focuses on what matters: representing diverse, global voices. Because if AGI is our future, it must understand all of us, not just the privileged few.</p><h3>The Bottom Line: Delete Delphi</h3><p>This model isn't just broken—it's dangerous. By enshrining biased, exclusionary "ethics" as academic research, Delphi's creators have gifted society a tool that:</p><ul><li>Scales systemic racism through algorithmic oppression</li><li>Murders cultural nuance with Western supremacy</li><li>Justifies mass harm in the name of efficiency</li></ul><p><strong><em>There aren't enough academic caveats in the world to unwind what is fundamentally rotten at the core.</em></strong></p><p><strong>The lesson</strong>? AI ethics can't be an afterthought or a checkbox. Until models are trained on truly diverse data and designed to challenge biases—not codify them—we're just automating colonialism with better PR.</p><p><strong>Final verdict</strong>: Don't use Delphi. Don't cite it. Don't pretend it's progress. Burn the entire paradigm down and start over with voices that actually represent humanity—all of it.</p>

The Delphi Debacle: When AI Ethics Become the New Colonialism

<figure id="figure-hh721u5j8m6y1b5by" data-full-width="" class=""><img id="hh721u5j8m6y1b5by" src="https://cdn.durable.co/blocks/fvb9NVIjlUi5GhPMovWLJ5uGAqiuM9v6xOhp5ZEN1oHv2qeBkKlFyX68M8vwZt44.jpg" alt="" title="" class="object-cover bg-gray-100 " style="aspect-ratio: 16/9; object-position: center center;" data-corners="default" data-aspect="16:9" data-caption="" data-positionx="undefined" data-positiony="undefined" data-fullwidth="true" data-mce-src="https://cdn.durable.co/blocks/fvb9NVIjlUi5GhPMovWLJ5uGAqiuM9v6xOhp5ZEN1oHv2qeBkKlFyX68M8vwZt44.jpg" data-mce-style="aspect-ratio: 16/9; object-position: center center;"></figure><h3>Inspector Gadget's Latest Mission: Investigating Why Your Devices Cost More Than His Upgrades</h3><p>Remember that "amazing" international flight deal you found online? You know, the one that somehow tripled in price once you added those sneaky airport fees, fuel surcharges, and that mysterious "convenience" fee?</p><p>Well, buckle up, tech lovers, because your favorite gadgets are about to take you on a similar journey – courtesy of tariffs, supply chain chaos, and shipping drama. Let's dive into the real reasons your next phone might cost as much as a used car.</p><p>Here’s the short story: it isn’t necessarily about the items themselves—it's about where they are assembled, and where the parts they are assembled from are made. &nbsp;Everything from a capacitor to a mounting screw to a cutting-edge integrated circuit, is at risk of a price increase.</p><h3>Tariffs: The Sneakiest Upcharge Since "Resort Fees"</h3><p>According to <a data-mce-href="https://trends.google.com/trends/explore?date=today%203-m&amp;geo=US&amp;q=what%20is%20a%20tariff&amp;hl=en" href="https://trends.google.com/trends/explore?date=today%203-m&amp;geo=US&amp;q=what%20is%20a%20tariff&amp;hl=en" target="_blank" rel="noopener">Google Trends</a> (as of February 2025), "What's a tariff?" has been climbing the charts faster than a viral dancing cat video. So, let's break it down: Imagine tariffs as the equivalent of that "mandatory gratuity" at fancy restaurants – except instead of tipping your server, you're paying extra for every little component that makes up your beloved devices.</p><p><strong>The Cold, Hard Numbers</strong></p><p>While some analysts suggest tariffs have bumped up electronics costs by 10-15% in recent years, the <a data-mce-href="https://www.federalregister.gov/documents/2019/05/09/2019-09681/notice-of-modification-of-section-301-action-chinas-acts-policies-and-practices-related-to" href="https://www.federalregister.gov/documents/2019/05/09/2019-09681/notice-of-modification-of-section-301-action-chinas-acts-policies-and-practices-related-to" target="_blank" rel="noopener">Trade Representative Office </a>reports paint an even more sobering picture. Translation? That shiny new smartphone might need its own payment plan soon.</p><h3>The Great Price Hike Menu: What's Getting More Expensive and Why</h3><p><strong>Consumer Electronics: A More Expensive Recipe</strong></p><p>Remember when your grandmother complained about the rising cost of groceries? It's not even grandma, one of my husband's friends just shared that a dozen of eggs were $9 in his local grocery store. Well, the tech world is about to have its own inflation moment. With overseas components getting slapped with tariffs, manufacturing costs are soaring higher than a SpaceX rocket.</p><p><strong>TVs and Displays: Bigger Screens, Bigger Bills</strong></p><p>China currently dominates the <a data-mce-href="https://omdia.tech.informa.com/-/media/tech/omdia/marketing/blogs/2024/figure-1-us-imports-of-tvs-by-country-of-origin.jpg?rev=8e0dd0bbd5684449bcb493bdee3ea686&amp;hash=E1E2EE6F2D2E8E70EA9FE44A8859D43F" href="https://omdia.tech.informa.com/-/media/tech/omdia/marketing/blogs/2024/figure-1-us-imports-of-tvs-by-country-of-origin.jpg?rev=8e0dd0bbd5684449bcb493bdee3ea686&amp;hash=E1E2EE6F2D2E8E70EA9FE44A8859D43F" target="_blank" rel="noopener">LCD panel market</a> like dancing cat memes dominate the internet. With new tariffs targeting these components, even premium brands are feeling the squeeze – and guess who they're passing those costs onto? (Psssst....<strong>Spoiler alert</strong>: It's <strong><em>you</em></strong>.)&nbsp;<br>&nbsp;<br><strong>Smartphones &amp; Laptops: The New Luxury Items</strong></p><p>When it comes to <a data-mce-href="https://www.insidermonkey.com/blog/lithium-battery-production-by-country-top-5-countries-1110982/5/" href="https://www.insidermonkey.com/blog/lithium-battery-production-by-country-top-5-countries-1110982/5/" target="_blank" rel="noopener">lithium batteries</a> – the beating heart of your devices – China manufactures a whopping 79% of the global supply. The next closest competitor? The USA at a modest 6.2%. Talk about putting all your eggs (or batteries) in one basket!</p><h3>The COVID Connection: When "Supply Chain Issues" Became Everyone's Favorite Excuse</h3><p>Remember the Great Toilet Paper Panic of 2020? Well, those supply chain nightmares are making an unwelcome sequel. But here's the plot twist: COVID didn't break the system – it just exposed how fragile it already was.</p><p>Consider this: Modern electric vehicles need about 2,000 semiconductors, compared to the roughly 500 chips in older cars. That's not just an upgrade – that's a complete paradigm shift in demand. And our production capabilities? They're still trying to catch up from the last crisis.</p><h3>The Real Talk Section: What This Means for Your Wallet</h3><p>Higher prices aren't just coming – they're practically at your door with a delivery notification. Manufacturers are scrambling to move production out of China faster than you can say "geopolitical tensions," but these transitions are about as smooth as using a broken flip phone that doesn’t flip.</p><h3>Your Survival Guide to Tech Purchases</h3><p><strong>Smart Strategies</strong></p><ul><li><strong>Stay Informed</strong>: Follow tech news like you follow your ex on social media – closely, but without getting emotionally invested.</li><li><strong>Deals</strong>: Retailers might offer promotions to offset price hikes. Think of it as happy hour for electronics – timing is everything.</li><li><strong>Plan Ahead</strong>: If you need a new device, don't wait until your old one dies completely. Prices and availability are about as predictable as the weather.</li></ul><h3>The Bottom Line</h3><p>The tech world is about to experience its own version of surge pricing, and it's not just about the gadgets anymore – it's about the global economic butterfly effect that determines what you'll pay for your next device. The good news? Being informed is half the battle. The bad news? It’s still going to cost you more.</p><p>Stay savvy, stay informed, and remember at least we're not paying for dial-up internet anymore. Right?</p>

This Message Will Self-Destruct: Chief Quimby's Urgent Report on Your Exploding Tech Budget 

<figure id="figure-yyb5wqd6yim6sj3jws" data-full-width=""><img id="yyb5wqd6yim6sj3jws" src="https://cdn.durable.co/blocks/4NCg4snMDPC6fFeyZJLg7J5sED64znCECOpTgDBZCtNuy86MyOnz0U6D2wwdpfW2.jpg" alt="" title="" class="object-cover bg-gray-100 " style="aspect-ratio: 16/9; object-position: center center;" data-corners="default" data-aspect="16:9" data-caption="Source: iStock/tanit boonruen" data-positionx="undefined" data-positiony="undefined" data-fullwidth="true" data-mce-src="https://cdn.durable.co/blocks/4NCg4snMDPC6fFeyZJLg7J5sED64znCECOpTgDBZCtNuy86MyOnz0U6D2wwdpfW2.jpg" data-mce-style="aspect-ratio: 16/9; object-position: center center;"><figcaption class="body-normal text-gray-500 mt-2">Source: iStock/tanit boonruen</figcaption></figure><p>Let's talk numbers, because they don't have opinions.</p><p>I recently sat down with <a data-mce-href="https://www.foodmanufacturing.com/labor/article/22932419/ethical-ai-is-transforming-the-manufacturing-industry" href="https://www.foodmanufacturing.com/labor/article/22932419/ethical-ai-is-transforming-the-manufacturing-industry" target="_blank" rel="noopener">Industrial Equipment News (IEN) </a>to break down the hard truth about AI in manufacturing. While everyone's talking about efficiency and automation, they're missing the bigger picture - and the bigger market.</p><p>Here's the math: diverse markets and women represent $16.3 trillion of America's $27 trillion GDP. That's 60% of our economy. This isn't about DE&amp;I initiatives or feel-good metrics - it's about capturing the actual market.</p><p>In this interview, I dive into:</p><ul><li>The real numbers behind inclusive AI development</li><li>How Toyota and Siemens Gamesa are turning ethical AI into market advantage</li><li>Why automation bias isn't just a technical problem - it's a profit problem</li><li>The not-so-secret truth about why some manufacturers are missing 60% of their market opportunities</li></ul><p>Between 2021 and 2024, women and non-binary individuals held only 15% of C-suite roles in NASDAQ-100 tech companies. This isn't just bad ethics - it's bad business. When your AI inherits your blind spots, you're not just excluding people - you're excluding profit.</p><p>Read the full interview at IEN.com: <a data-mce-href="https://www.foodmanufacturing.com/labor/article/22932419/ethical-ai-is-transforming-the-manufacturing-industry" href="https://www.foodmanufacturing.com/labor/article/22932419/ethical-ai-is-transforming-the-manufacturing-industry" target="_blank" rel="noopener">Link</a></p><p>Looking to transform your manufacturing AI strategy? Let's run the numbers. Connect with me on <a data-mce-href="https://www.linkedin.com/in/yvetteschmitter/" href="https://www.linkedin.com/in/yvetteschmitter/" target="_blank" rel="noopener">LinkedIn</a> or reach out through my <a data-mce-href="https://yvetteschmitter.net/contact" href="https://yvetteschmitter.net/contact" target="_blank" rel="noopener" data-mce-selected="inline-boundary">Contact</a> page.</p><p>The future of manufacturing isn't about choosing between profit and ethics - it's about understanding that in today's market, they're the same thing. And that's not an opinion - that's math.</p>

Breaking Down the Business Case for Ethical AI in Manufacturing - IEN Interview

<figure id="figure-ry9aby2ieqm6pj5jds" data-full-width="" class=""><img id="ry9aby2ieqm6pj5jds" src="https://cdn.durable.co/blocks/30J46KgVj0QoIzsoqCHpAUxBzGDi0lQHxNpb84eKTbDQJ9guYVjsh0Mlch4HSGYH.png" alt="" title="" class="object-cover bg-gray-100 " style="aspect-ratio: 16/9; object-position: center center;" data-corners="default" data-aspect="16:9" data-caption="Royaltee Magazine" data-positionx="undefined" data-positiony="undefined" data-fullwidth="true" data-mce-src="https://cdn.durable.co/blocks/30J46KgVj0QoIzsoqCHpAUxBzGDi0lQHxNpb84eKTbDQJ9guYVjsh0Mlch4HSGYH.png" data-mce-style="aspect-ratio: 16/9; object-position: center center;"><figcaption class="body-normal text-gray-500 mt-2">Royaltee Magazine</figcaption></figure><p>AI is reshaping industries—but is it redefining beauty in ways that leave too many of us out? Including people who look like me?</p><p>A recent Washington Post experiment asked AI to generate images of a “beautiful woman.” The results? A narrow, homogenous standard: overwhelmingly young, slender, and light-skinned. Just 2% of images showed visible signs of aging. Only 9% featured dark skin tones.</p><p>This isn’t just about beauty. It’s about bias—hidden in the algorithms shaping everything from hiring decisions to healthcare diagnostics. When AI learns from data that reflects historical inequities, it automates exclusion. And let’s be clear: AI doesn’t question itself. We must be its counterbalance.</p><h3>💡 What do we do?</h3><ul><li>Challenge AI’s assumptions.</li><li>Demand ethical development.</li><li>Refuse to let algorithms dictate whose voices—and faces—matter.</li></ul><p>I dive into this in my latest feature—exploring AI’s ethical dilemma, the risks businesses can’t afford to ignore, and what it means for ALL of us.</p><p>🔗 Read the full article <a data-mce-href="https://royalteemagazine.com/understanding-the-risks-of-ai-biases-who-gets-left-behind-in-an-automated-world/" href="https://royalteemagazine.com/understanding-the-risks-of-ai-biases-who-gets-left-behind-in-an-automated-world/" target="_blank" rel="noopener">here</a>.</p><p>Let’s make questioning AI second nature. </p><p>Because if we don’t shape AI’s future, it will shape ours.</p>

Featured In Royaltee Magazine: "Understanding the Risks of AI Biases: Who Gets Left Behind in an Automated World?"

<figure id="figure-t1ms50l1dkm6mjdlph"data-full-width><img id="t1ms50l1dkm6mjdlph" src="https://cdn.durable.co/blocks/18Qn5AYdtmZX5MK8Cyem8j6u5KtkxT4z3Y5nqCSJtFaHY0nvEeYFfQTrdQRciovQ.jpg" alt="" title="" class="object-cover bg-gray-100 " style="aspect-ratio: 16/9; object-position: center center;" data-corners="default" data-aspect="16:9" data-caption="" data-positionX="undefined" data-positionY="undefined" data-fullWidth="true"/></figure><p>Oh lookie here… this week another AI model is making waves in the tech world! Alibaba released a new version of its Qwen 2.5 model claiming it surpasses DeepSeek. But before we raise a glass or start handing out high fives, we need to look harder at DeepSeek. DeepSeek's big splash last week turned out to be less "breakthrough innovation" and more "breaking through every safety barrier in sight." As the new kid on the block, DeepSeek's R1 apparently never met a content filter it couldn't ignore.</p><p>Recent <a data-mce-href="https://www.wired.com/story/deepseeks-ai-jailbreak-prompt-injection-attacks/?utm_source=nl&amp;utm_brand=wired&amp;utm_mailing=WIR_Daily_020125&amp;utm_campaign=aud-dev&amp;utm_medium=email&amp;utm_content=WIR_Daily_020125&amp;bxid=5c95706e3f92a40ad9b85203&amp;cndid=14654347&amp;hasha=9108ebf06b63664ffc46d71249c3f578&amp;hashc=ce5e925cc9d5f4eb915cbde78db518fc659a22ce952ac4901de7edd4308e036d&amp;esrc=MARTECH_ORDERFORM&amp;utm_term=WIR_Daily_Active" href="https://www.wired.com/story/deepseeks-ai-jailbreak-prompt-injection-attacks/?utm_source=nl&amp;utm_brand=wired&amp;utm_mailing=WIR_Daily_020125&amp;utm_campaign=aud-dev&amp;utm_medium=email&amp;utm_content=WIR_Daily_020125&amp;bxid=5c95706e3f92a40ad9b85203&amp;cndid=14654347&amp;hasha=9108ebf06b63664ffc46d71249c3f578&amp;hashc=ce5e925cc9d5f4eb915cbde78db518fc659a22ce952ac4901de7edd4308e036d&amp;esrc=MARTECH_ORDERFORM&amp;utm_term=WIR_Daily_Active" target="_blank" rel="noopener">research</a> from Cisco and the University of Pennsylvania revealed concerning findings. The situation is comparable to those horror movie teenagers who, while being chased by a masked killer, run upstairs instead of out the front door, or decide to "split up to cover more ground," or better yet, investigate the strange noise in the dark basement while saying "Hello? Is anyone there?" That's basically what happened when researchers tested DeepSeek's model with 50 different malicious prompts. It failed to stop a single one. It's likened to watching someone in a horror film walk into a cabin in the woods that has a sign saying <em><strong>"DANGER: DEFINITELY HAUNTED, ALL WHO ENTER WILL DIE"</strong></em> written in what appears to be fresh blood on the door, and thinking, "Yep, this seems like a cozy place to spend the night!"</p><h3>When "Cheaper" Comes at a Cost</h3><p>DeepSeek burst onto the scene promising a more affordable alternative to the big players like OpenAI. But as DJ Sampath from Cisco points out, there might be a reason for those cost savings – and it's not because they found a magical efficiency breakthrough. It seems they may have skipped the whole "robust security measures" chapter listed in any development handbook.</p><p>Think of it like buying a car without airbags, seatbelts or brakes. Sure, it's cheaper, but do you really want to take that ride?</p><h3>The Jailbreak Express</h3><p>Here's where things get even juicier. Remember those clever "D.A.N." (do anything now) prompts that used to work on ChatGPT? That's child's play compared to what's possible with DeepSeek's R1. Adversa AI's analysis shows that the model's safety restrictions can be bypassed faster than a Labrador Retriever finding any body of water, including mud puddles to play in.</p><p>And we're not talking about sophisticated, never-before-seen attacks here. These are the equivalent of using "password123" as your security key – basic, well-known vulnerabilities that have been making the rounds for years.</p><h3>Why Should We Care?</h3><p>Because AI isn't just playing around in sandboxes anymore. When these models get integrated into important complex systems, those "harmless" jailbreaks can cascade into serious business risks faster than you can say "breach nightmare."</p><h3>The Wake-Up Call</h3><p>Here's the thing: we can't afford to treat AI safety like an optional feature. It's not only reckless but dangerous to develop without security being at the cornerstone and top of mind. This was never truer during my time at AWS when Werner Vogels always said: "Everything will fail, and everyone's job is security." When companies rush to market with inadequate safeguards, they're not just cutting corners – they're potentially unleashing tools that could be weaponized for everything from spreading misinformation to creating harmful content.</p><h3>The Regulatory Void</h3><p>Here's where things get really interesting (and by interesting, I mean concerning). While established players like OpenAI operate under increasing scrutiny and evolving regulatory frameworks, newcomers like DeepSeek seem to be operating in a regulatory wild west. It's like watching someone open a restaurant without health inspections – sure, the food might be cheaper, but do you really want to risk it? Those who've ever had the very personal experience of food poisoning know exactly what that means.</p><p>The continued absence of comprehensive international AI safety regulations means we're essentially trusting AI companies to police themselves. And as this case demonstrates, not everyone takes that responsibility as seriously as they should.</p><h3>The Ethics Gap</h3><p>Let's be real: ethical AI development isn't just about preventing harmful content – it's about building responsible technology that serves EVERYBODY while protecting users and society. When companies skip safety checks, they're not just cutting corners; they're potentially undermining the entire foundation of AI development.</p><h3>What Can We Do About It?</h3><p>1. <strong>Do Your Homework</strong>: If you're considering implementing AI solutions, make safety features and ethical considerations non-negotiable parts of your evaluation criteria.</p><p>2. <strong>Require Transparency</strong>: We cannot continue to expect someone else to do it or do the right thing. While we are developing new tech at the speed of light, we need to rapidly ramp up and actually implement AI safety measures, independent security audits, and ethical guidelines. Let's stop talking about it and do it.</p><p>3. <strong>Stay Informed</strong>: Keep up with security research, regulatory developments, and understand what makes an AI model truly "production-ready," before you deploy in your enterprise.</p><p>I love the way Alex Polyakov from Adversa AI put it, "If you're not continuously red-teaming your AI, you're already compromised." The point is this, it's not just about security testing anymore – it's about creating a comprehensive framework of safety measures, ethical guidelines, and regulatory oversight.</p><p>I immediately think of Wimpy's line from Popeye cartoons: "I'll gladly pay you Tuesday for a hamburger today," because in the end, a cheaper AI model might save you money today, but the cost to society could be much higher tomorrow. The time for voluntary compliance and assuming positive intent is over – we need robust regulations and enforcement mechanisms to ensure AI development prioritizes safety and ethics alongside innovation. <strong>NOW</strong>!</p>

DeepSeek's Wild West: When AI Safety Takes a Back Seat

<figure id="figure-bgmpcgjgkum6m6u6zw" data-full-width=""><img id="bgmpcgjgkum6m6u6zw" src="https://cdn.durable.co/blocks/85fv06Bkm60FObkXT1rhFCV3U5Yu7AjIiifvk4ZBJNeva02J7tSvdJLxtP6erRIm.jpg" alt="" title="" class="object-cover bg-gray-100 " style="aspect-ratio: 3/2; object-position: 50% 70%;" data-corners="default" data-aspect="3:2" data-caption="" data-positionx="50%" data-positiony="70%" data-fullwidth="true" data-mce-src="https://cdn.durable.co/blocks/85fv06Bkm60FObkXT1rhFCV3U5Yu7AjIiifvk4ZBJNeva02J7tSvdJLxtP6erRIm.jpg" data-mce-style="aspect-ratio: 3/2; object-position: 50% 70%;"></figure><p>Thrilled to share my insights in Scott Clark's latest article: "Human-Centered AI: Building Empathy and Creativity in Machine-Driven Era"</p><p>As CEO and Managing Partner at Fusion Collective, I had the opportunity to discuss a crucial aspect of our AI-driven future: the mindset that will define success in this transformative era.</p><p>In my conversation with Scott, I emphasized that success in the AI age demands an abundance mindset focused on growth. According to the World Economic Forum's Future of Jobs Report, the most critical skills moving forward will center around:</p><p>• AI and big data<br>• Networks and cybersecurity<br>• Technological literacy<br>• Creative thinking<br>• Resilience and adaptability<br>• Curiosity and lifelong learning</p><p>Specifically, I told Scott, "machines are not curious by nature, and as technology advances, we all must be able to ask better questions moving forward."</p><p>The article explores how human-centered AI is reshaping industries while highlighting the irreplaceable value of human skills. It's not about AI versus humans—it's about creating a future where technology amplifies our uniquely human capabilities.&nbsp;</p><p>➡️ Read it <a data-mce-href="https://www.cmswire.com/customer-experience/human-centered-ai-building-empathy-and-creativity-in-machine-driven-era/" href="https://www.cmswire.com/customer-experience/human-centered-ai-building-empathy-and-creativity-in-machine-driven-era/" target="_blank" rel="noopener" data-mce-selected="inline-boundary">here.﻿</a></p><p>What skills do you think will be most crucial in the AI era?</p><p>Share your thoughts and help keep this important conversation about our collective future going!</p>

Featured In CMSWire: "Human-Centered AI: Building Empathy and Creativity in Machine-Driven Era"

Yvette Schmitter

My name is Yvette Schmitter, and I’m a dynamic, international motivational, keynote speaker and technology leader on a mission to transform the future of tech into a force that includes and uplifts us all. Drawing from my expertise in AI, cloud computing, and digital transformation, I empower audiences to lead with courage, dismantle barriers, and create solutions that bridge divides and drive lasting impact. Let’s build a future where innovation isn’t just progress—it’s progress for all. Join me in shaping the future we all deserve. My mission is to redefine the future of technology by championing innovation that includes and empowers all. As a trailblazer in the tech industry, I lead with purpose and passion, ensuring that every room where decisions are made is filled with diverse perspectives, so that technology truly serves humanity—not just a privileged few. By breaking down barriers and building bridges, I’m committed to creating a tech landscape where every voice is heard, every experience is valued, and every community has the opportunity to thrive.


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