Acrolinx’s Post

𝐇𝐚𝐯𝐞 𝐲𝐨𝐮 𝐡𝐞𝐚𝐫𝐝 𝐨𝐟 𝐀𝐈 𝐰𝐚𝐬𝐡𝐢𝐧𝐠? It’s when businesses claim to use advanced AI to appear cutting-edge, even when they don’t—or when they rely on less sophisticated technology. Working closely with teams that build AI and companies that implement AI, I've observed the challenges companies face in accurately representing their AI capabilities. There is massive pressure from the investors, board, executive peers, and the market itself -  to build products that are state-of-the-art. So there is a major temptation to exaggerate the use of AI in products and implementations. A recent study found that 40% of companies claiming to use AI actually have little to no AI capabilities. AI washing not only misleads investors but also stifles genuine innovation, as resources are diverted from real advancements to hollow marketing claims. This concern is echoed by the SEC, which recently took action against two firms for making 'false and misleading statements' regarding the extent to which AI was used to manage their investment strategies. The SEC Chair commented “We’ve seen time and again that when new technologies come along, they can create buzz from investors as well as false claims by those purporting to use those new technologies. Investment advisers should not mislead the public by saying they are using an AI model when they are not. Such AI washing hurts investors.” While regulators do their job, it is important for business leaders and start-up founders, to self-regulate. The ethical principles outlined in the EU's guidelines for Trustworthy AI are a great starting point:    1. Respect for Human Autonomy  2. Prevention of Harm  3. Fairness  4. Explicability/Explainability For every product and product claim we put out, having a checkpoint against these (or similar) principles helps us make an objective assessment on the design of the product or service, and the extent of use of AI. Implementing these principles at scale could significantly curb AI washing. Ultimately, it comes back to the basics. Let’s prioritize honesty and authenticity in business and life. Being real pays off in the long term, as does building a community that trusts us and believes in us. #technology #business #startups #future #AI #growth

As analysts race to predict when the #AIbubble might burst, the #AI craze is everywhere. Companies — from tech giants to startups — are slapping "AI-powered" labels on their products, even when no actual AI is involved. It seems #AIwashing has spiraled out of control. But what impact does this have on the industry? I explore this dilemma in my latest piece for AiThority.Com: https://lnkd.in/gSBSRjvC 

Oliver has had another article published, this time in Finextra, discussing Decoding AI Adoption and the 6 Key Rules to Separate Authentic Innovation from the Hype for the financial sector. If you'd like to learn more about AI without the hype, connect with Oliver King-Smith (CEO) Neil Gentleman-Hobbs (EMEA) Greg James (US) Steve Hansen (Aus & APAC). #responsibleai #ethicalai #gpt4 #smartRAI #SCOTi #technology #llm #privacy #facilt8 #innov8 #acceler8 #greenAI #analytics #fintech #financialservices

𝗔𝗿𝗲 𝗕𝟮𝗕 𝗔𝗜 𝘀𝘁𝗮𝗿𝘁𝘂𝗽𝘀 𝗶𝗻 𝗘𝘂𝗿𝗼𝗽𝗲 𝗶𝗺𝗽𝗮𝗰𝘁𝗲𝗱 𝗯𝘆 𝘁𝗵𝗲 𝗔𝗜 𝗔𝗰𝘁 𝗼𝗿 𝗮𝗿𝗲 𝘁𝗵𝗲𝘆 𝗮𝗰𝘁𝘂𝗮𝗹𝗹𝘆 𝘀𝘁𝗿𝘂𝗴𝗴𝗹𝗶𝗻𝗴 𝘁𝗼 𝗮𝗰𝗵𝗶𝗲𝘃𝗲 𝗽𝗿𝗼𝗱𝘂𝗰𝘁 𝗺𝗮𝗿𝗸𝗲𝘁 𝗳𝗶𝘁? I spoke to Lisa Oder from Tagesspiegel Background about the specific measures included in the EU AI Act designed to prevent the misuse of AI-generated media and ensure its positive societal impact. The AI Act differentiates between providers of AI systems (for example, companies such as Synthesia) and deployers of such systems (customers or partners using our platform or other generative AI products for their specific business applications). Lisa's article does a great job at describing the obligations for providers and deployers in simple to understand terms: https://lnkd.in/eghxHas4 Our conversation stemmed from a LinkedIn post from Elisabeth L’Orange, the co-founder of Oxolo (a text-to-video AI platform), who announced that her company was closing its operations due to "market dynamics and strategic realignment" combined with "compliance with the AI Act becom[ing] impossible." While compliance with the AI Act will create additional bureaucracy for many players in the generative AI space and slow down innovation and adoption of this technology in Europe, I'm concerned we're glossing over the root issue: companies developing or using generative AI without thinking about any responsible AI principles - or generally treating legal governance as an after-thought - will struggle to achieve product market fit when trying to provide services to large companies that operate in regulated industries, whether those regulations are specifically focused on AI or tackle specific verticals (finance, healthcare, advertising and e-commerce, etc.) That's why in 2017 Synthesia created our responsible AI principles of consent, control and collaboration (you can read about them here: https://lnkd.in/eEqBw-M8) that guide everything we do, rather than waiting for regulation to catch up with our industry. By doing so, we will soon become the first AI company in the world to be certified for the ISO 42001 standard which codifies best practices for responsible AI development and deployment, giving our Fortune 500 customers the certainty they need that they're working with a trusted partner and a responsible innovation leader in the generative AI industry.

The EU AI Act establishes a groundbreaking standard for 'high-risk' AI applications, emphasizing the need for transparency and accountability to address potential risks to health, safety, and human rights. The introduction of significant penalties for failure to comply indicates the impending conclusion of the era of unbridled AI regulation. Read more: https://lnkd.in/d-Mafegz Source: Insight Partners 🔔 Follow me, Olivier Gomez (OG) & activate the notification bell to stay up-to-date on #AI & #Automation 📮Contact me to get your content featured! ◼ Hey, I am Olivier Gomez best known as OG. ◼ I support executives and companies in navigating the automation and AI landscape and getting tangible results from the technology. 🡆 Outcome-Based Model – you take the gains, we take the risks 🡆 FREE Assessment of your situation and business case proposal Want to know more? Then DM me or send me an email 📧 at olivier@iac.ai IAC.ai - Intelligent Automation's success is a result of our team's hard work and persistence, the support, and love from our clients, and those who believe in what we can do. Our team is more than ready for you! #intelligentautomation #automation #digitaltransformation #technology #innovation #outcome #outcomebasedcontracts #gainshare #artificialintelligence #ai

🚀 We appreciate Hitachi Ventures’ insights on why they’ve invested in Trustwise, joining Allstate Strategic Ventures, Firestreak Ventures, and Grit Ventures. Why Trustwise Optimize:ai? 🦉 1️⃣ Cost efficiency: Reduce AI operational costs by up to 80% 2️⃣ Safety and compliance: Provide robust AI safety and alignment controls, mitigating risks such as hallucinations and data leakage 3️⃣ Environmental sustainability: Reduce the carbon footprint of AI deployments by up to 64% Trustwise is a strategic partner in the journey toward responsible AI innovation — read more in Hitachi Ventures' latest blog post. #GenAI #generativeAI #TrustworthyAI #AI #LLM #AISafety #sustainableAI #sustainability #AIefficiency

If you’ve been using AI, you’re starting to see its limitations, which don’t match the hype...This is called AI Washing 🧼 It is exaggerating the capabilities of a product or service that is sold as ‘AI’ in order to make it look more sophisticated than it actually is. Parker Conrad is the founder behind the power house $13.5B HR startup Rippling who recently said: “No one actually wants to chat with their HR software beyond the sort of novelty of like, oh, my gosh, it responds to me,” He also thinks that too many software companies have been adding not-really useful, novelty AI features into their products. 😑 This can stifle true AI innovation 🙄 And erodes consumer trust in AI The Coca-Cola Company, for example was accused of AI washing for a campaign claiming it had used AI to create a new drink with no real explanation of how AI was involved in the process. So follow the time tested logic: ⭐️ If it seems to good to be true, it probably is ⭐️ #worktech #ai #employeeexperience #employeeengagement #futureofwork #worktrends #hrtech  

Credo AI has raised an impressive amount of funding despite the data highlighting a significant gap between the widespread concern about AI and the readiness to handle its implementation responsibly. With the company's focus on AI governance software, implementing better frameworks, guidelines, and strategies to ensure that AI development and usage address both consumer concerns and organizational challenges would be optimal and exciting. "A global study by KPMG found that about 75 percent of consumers are concerned about the potential risks of AI, and McKinsey’s recent research revealed that 63 percent of organizations view the implementation of generative AI as a top priority, yet 91 percent feel ill-prepared to navigate its challenges responsibly." Investors: CrimsoNox Capital, Mozilla Ventures, FPV Ventures, Booz Allen Hamilton, Sands Capital, Decibel VC, and AI Fund #governance #ai #venturecapital

This is going to become a trend across the country. Artificial Intelligence absolutely has to be regulated in some way, but innovation also needs space to breathe and mature. What is the right balance? What is the proper role of government and regulators, especially knowing they're often catching up with creators and science? This should be on every legislative agenda for the next few years - but to do what, exactly? Worth keeping an eye on.