Adonis Abou Zaki的动态

The Future of AI in Political Campaigns: Opportunities and Ethical Concerns. AI's role in politics continues to evolve, from simple online banners to personalized messages and chatbots. While AI offers efficiency and effectiveness, it also raises ethical concerns about privacy and manipulation. AI-driven campaigns have the advantage of targeting specific demographics and predicting outcomes, but they also risk deepening political polarization and spreading misinformation. How can we balance the potential benefits and ethical concerns of AI in political campaigns? --- Hi, ???? my name is Doug, I love AI, and I post content to keep you up to date with the latest AI news. Follow and ?? repost to share the information! #artificialintelligence #politics #ethicalai

Enhance your analytics with DeepLobe's Demographic Recognition Model! Identify and categorize demographic data effortlessly with our no-code AI platform. Watch now! https://buff.ly/4d6EFyd #DeepLobe #AI #NoCode #ComputerVision #DemographicRecognition #DataAnalytics #Automation

Enhance your analytics with DeepLobe's Demographic Recognition Model! Identify and categorize demographic data effortlessly with our no-code AI platform. Watch now! https://buff.ly/3WWdrnc #DeepLobe #AI #NoCode #ComputerVision #DemographicRecognition #DataAnalytics #Automation

We are at the Future of Media Technology Conference today with Press Gazette, exploring themes on AI and the evolving landscape of content attribution and publisher growth opportunities. AI, as an unignorable force, is currently in flux, demanding human involvement for stabilization. How will AI attribute content back to publishers, and is AI's current usage merely scratching the surface? With 35% of Times staff already embracing AI for enhanced efficiency, a rapid shift to 75% seems imminent. Yet, the technology lacks the depth of intelligence required for full autonomy? The shift towards publishers as platforms raises questions on maximizing the global market and subscriber acquisition strategies. Are publishers focusing enough on long-term value and retention, and on catering to diverse audience preferences? There is a debate on the relevance and decline of "search" with Google. Can publishers grab this space? Can publishers seize the initiative and repurpose content for varied platforms to engage different demographics effectively, including emerging platforms like Tik Tok, in order not to neglect Gen Z audiences? What are your thoughts? #Media #AI #Publishing #ContentAttribution #DigitalPublishing #SubscriberRetention #PublisherStrategy #AudienceEngagement #GenZPlatforms

?? Hey advertisers, here’s why you must start leveraging probabilistic AI models now. Until now, targeting specific segments of the population was done relying on personal data & parameters like age & gender, posing a high risk to user privacy. By combining contextual understanding with probabilistic modeling, contextual probabilistic AI enables brands to accurately identify their ideal audiences without using any personal information, predicting sociodemographic information while keeping user privacy safe. ?? #ContextualAI #ProbabilisticAI #PredictiveModel #ContextualTargeting

??????!!! ?? ?????????????????????? ?????? ???????? ?????? ????’?? ?????????? ??????????: ?? 61% of GenZ and 53% of Millennials use AI tools in place of traditional search engines like Google for researching topics ?? 53% of Millennials and 49% of GenZ are more drawn to products when it’s labeled as “powered by AI” Read more here: https://lnkd.in/gnWYTbgf #ai #genai #millennials #genz #work #search

Tomasz Boinski's post really resonates with me. While many are focused on resisting AI adoption, the key is embracing the needs and expectations of the emerging generational workforce. I shared an article a couple months back that dives into this further: https://lnkd.in/eceW4B94 The reality is, the way we work is rapidly evolving. How teams collaborate 6 months from now will likely look quite different than today. Rather than fighting this change, the most successful leaders and organizations will be the ones that continuously adapt. This means experimenting with new leadership approaches, measuring what matters to younger talent, and co-creating the future together. The companies that will thrive are already prototyping new ways of working fit for an AI-powered world. It's an exciting time, but it requires a growth mindset. Let's focus our energy on understanding the next generation workforce and evolving with them. That's the real key to unlocking human potential in this new era.

Social connection generation and ghost connection has been a USP for LinkedIn, Insta and other social platform. There algorithms seem to heavily weigh on political views similarities or political homophily, Not the best way to look at connection. Using LLMs to recommend connection may just be the answer for these platforms. Using LLMs in a flexible and zero-shot way to generate social networks based on personas (demographics and interests). Unlike other methods that either require extensive training data or rely on stylized models, LLMs allow for a more dynamic, language-based approach to simulate relationships, potentially useful in applications that model social dynamics. In terms of social connections, the paper suggests that while LLMs can be used to simulate human interactions, they do so with an inherent bias, such as overemphasizing political homophily. Therefore, while useful for simulating networks, this approach needs further refinement to reduce bias in generating realistic social interactions and connections. link to the paper: https://lnkd.in/dD3znHQ7 #llm #writtenbyhuman #ai #deeplearning

Things that should be top of mind for every brand and agency right now… “Privacy is No. 1” when it comes to concerns about AI, said Yamada. AI could exacerbate existing consumer #privacy concerns as Google deprecates third-party cookies and marketers rely on alternatives like first-party data and data clean rooms. Yamada emphasized the need for contextual control over whom consumers share data with as well as transparency of both purpose and timeframe. Most people are uncomfortable sharing their personal contact info, location data, digital behaviors, demographics, and purchase data to help train #AI models, according to a Q2 2023 study from Publishers Clearing House (PCH). But that kind of data is necessary for personalized marketing via generative AI and, in the future, the use of AI agents, which could raise concerns among consumers and regulators.” #advertising #marketing #ai #data #privacy https://lnkd.in/g94HPxJU

For government agencies using AI for social media, it can be a real balancing act ?? But if you can figure out how to leverage AI to save time without alienating your community, you’re golden. So how can you do that? For starters, you’ll want to understand how your audience perceives AI. (Hint: Gen Z and millennials are cool with it; Gen X and boomers are still a bit leery.) Delve into the do’s and don’ts of AI for social. Hootsuite’s new Social Trends 2024 in Government report has the insights and advice you need: https://ow.ly/jb5Y50Qtbun