Stevie Antonioni’s Post

Can rules for AI governance be effective? Would the threat of penalties and fines be more effective? Lawmakers around the world are wrestling with these issues, and based on the infamous TikTok hearing, do you think they have the know-how to enact effective safeguards? https://lnkd.in/gQjTeMDF #ai #aiethics #change1

The basics of data governance--and data lineage--are going to be a big topic of upcoming AI regulation. Vox has a great write-up on the current (as of now) themes of proposed (or soon to be proposed) AI regulation. "Large models like GPT-4 and Stable Diffusion rely on massive training datasets that usually include copyrighted texts and images. This has prompted myriad lawsuits and provisions in the European Union’s AI Act requiring model builders to “publish information on the use of training data protected under copyright law.” https://lnkd.in/eDxx6H4e Shoutout to Dylan Matthews (dylan@vox.com) for putting this together. #AI #datagovernance #compliance #regulation

🤖 AI is becoming increasingly advanced, and the US government is taking steps to address its regulation and policy. 🏛️ The White House has introduced AI policies and secured voluntary safety commitments from leading AI companies. There are proposals for new regulations covering copyright, privacy, algorithmic bias, and AI safety, with some suggesting licensing requirements for AI models. 🔍 Additionally, discussions are underway about establishing new government agencies dedicated to AI, increasing funding for AI research, and promoting high-skilled immigration and education to bolster the AI workforce. ❓ However, the field is rapidly evolving, and the exact path of AI policy remains uncertain. 💡 Let Lumenova AI facilitate your compliance journey with our advanced AI governance platform. Schedule a demo and stay ahead of the game! 💼 https://lnkd.in/dEd8WTZp #AI #AIAssurance #AIGovernance #AIRegulation #AIRiskManagement #Compliance #ResponsibleAI #TrustworthyAI

As the rise of artificial intelligence (AI) continues to shape our world, policymakers in the United States are considering new rules and regulations to govern this transformative technology. In a recent article by Vox, Dylan Matthews explores the evolving landscape of AI regulation and the efforts being made by the US government and industry to address its challenges such as copyright, privacy, algorithmic bias, and national security concerns surrounding AI. Specifically, Dylan explores the various approaches being taken, including the development of new regulations and laws for AI developers and companies, the establishment of government agencies or international organizations to enforce these rules, increased funding for AI research, and investments in education to build a skilled AI workforce. To read the full article and gain deeper insights into the AI rules being considered by US policymakers, click on the following link:  https://lnkd.in/dBUWQxfF #AI #ArtificialIntelligence #Regulation #Policy #Technology #Ethics #Innovation #FutureOfWork

A look into the USA AI regs coming. “ The US Copyright Office has issued rulings suggesting that most texts, images, and videos output by AI systems cannot be copyrighted as original works, as they were not created by a human. “ If my memory serves me correctly I recall the US Supreme Court saying otherwise. This shows we are in the early days of AI and in particular generative AI. #ai #generativeai #artificialintelligence #regulations

#publishers Are #LLMs consuming your traffic? With users getting answers from search engines and chatbots, it's unlikely that the same number of users will click through to your site to read the source. Blocking LLMs from using your content for training may seem like a solution, but what happens when Google suppresses your content in search results for not allowing them to index your content? How much traffic are you okay losing? One option is to augment your employees with AI to create better and engaging content and experiences. Embrace #digital and #mobile, focus on great #UX to make your readers happy, and build strong relationships with other like-minded publishers and organizations. Let's chat and find a solution. #search #scholarlypublishing #seo

We are on an accelerating course towards "Technology Feudalism" and have been since the largely unregulated commercialization of the Internet. This is of course nothing more than the standard Capitalist Business Dynamic of Big Fish eating Little Fish - but now until there are no more little fish left to eat. The only thing stopping the biggest predators from completely dominating and destroying their own ecosystem is anti competition laws. Unfortunately, we can see how well these have (not) been working over the last twenty years or so of the Information Age. Laws discouraging abuse of dominance, particularly within the unregulated Infosphere need to be put in place and enforced. Since they have been neglected for so long, this might itself be a terrible economic shock. But without them, we simply do not have fair or effective markets. Billions of dollars will continue to be wasted by Corporations seeking Market dominance, this will accrue to Public Debt, consumers will suffer, and ultimately civil society will collapse. https://lnkd.in/etK8zuan

Another view on the threat to journalism from LLM chatbots and AI powered search, which is not at all exaggerated. Indeed, publishers may be underestimating the threat. Major news sites receive 40% of their traffic from Google search and links, but now Google is integrating LLMs into a new search product that can produce news content, not just summarize and link to it. What's interesting about this is Google is now under threat from LLM bots, which is pressuring the search monopoly to consume more of the business of publishers. That's a very different position than Google has been in for over two decades. My sense is that the publishers that look and sound less like bots and produce thoughtful, unique content are more likely to survive and may even thrive in the future environment, but those who generate clickbait and template stories may be headed for the dust bin regardless--bots can already do a better job, and can increasingly do so without needing to train on copyrighted data. I don't think revenue sharing is the answer for publishers as it just makes them more reliant on unbenevolent dictators. Being reliant on a single entity for half your revenue (or more) does not a healthy relationship make. As we just witnessed with OpenAI and MSFT, that level of dependence essentially gives up control. What publishers need is to adopt a system that provides a defendable competitive advantage like our KOS. Otherwise, probably sooner than later, they'll be replaced by someone who did. #search #publishing #news #journalism #llms

Good overview of the current state of USA proposals for AI policy. #ai #usa "But “knowing you’re going to do something” and “knowing what that something is” are two different things. AI policy is still pretty virgin terrain in DC, and proposals from government leaders tend to be articulated with lots of jargon, usually involving invocations of broad ideas or requests for public input and additional study, rather than specific plans for action. Principles, rather than programming. Indeed, the US government’s record to date on AI has mostly involved vague calls for “continued United States leadership in artificial intelligence research and development” or “adoption of artificial intelligence technologies in the Federal Government,” which is fine, but not exactly concrete policy. That said, we probably are going to see more specific action soon given the unprecedented degree of public attention and number of congressional hearings devoted to AI. AI companies themselves are actively working on self-regulation in the hope of setting the tone for regulation by others. That — plus the sheer importance of an emerging technology like AI — makes it worth digging a little deeper into what action in DC might involve. You can break most of the ideas circulating into one of four rough categories: Rules: New regulations and laws for individuals and companies training AI models, building or selling chips used for AI training, and/or using AI models in their business Institutions: New government agencies or international organizations that can implement and enforce these new regulations and laws Money: Additional funding for research, either to expand AI capabilities or to ensure safety People: Expanded high-skilled immigration and increased education funding to build out a workforce that can build and control AI" https://lnkd.in/g7qcY_kZ

Aggregator Theory was propounded by Ben Thomson of the Stratechery blog some years ago, and has stood the test of time across industries. At its core it talks of how the net has made distribution of digital goods very simple, effectively removing barriers put up by monopolistic brick and mortar companies. It also focuses on how the marginal cost of operations is near zero, making forward and backward integration from aggregators to suppliers and customers simple. As a result, value creation and capture have changed forever. It is a fascinating topic, and now Ben has applied it to how AI adds to the power of aggregators (e.g., Meta using algos to decide what you read), making the topic of aggregators and AI a loaded one, especially as it relates to areas like politics, racism etc. Enjoy the read! https://lnkd.in/gJqGgDYb