AI Consultants’ Post

In the short time I've been "rapidly skilling up" in Responsible AI, with a particular focus on helping orgs with AI Governance, Helen Toner's recent TED Talk https://lnkd.in/gZWPJg4y has become a bit of a guiding light in developing an "operating philosophy". I recommend it as a must watch for basically everyone - from Data Scientists and ML Engineers to literally anyone curious about this area and AI's impact on our World. Some key points (mostly inspired/derived from the talk) below. 1) The path AI will take from here is inherently uncertain. Some people are predicting AGI will be here shortly. Some say it already is. Yet others are quibbling about what that all really means. 2) We all can agree though on certain basics? - we don't want any of this to destroy humanity, entrench existing social disadvantage and biases, and we do want it to hopefully bring abundance and prosperity to as many people as possible? 3) You don't have to be an ML expert to concern yourself with this, or have a voice, just like you don't have to know the ins and outs of designing a functioning car in the greatest detail to concern yourself about road safety and speed limits? 4) If we're driving AI on a long, windy road where the next turn, or even destination is uncertain, what equips us to steer it along best, is a good steering system and a clear view of what's in front? Hence cue prioritizing AI explainability, flexible but clear Governance frameworks, guiderails, guard rails, further research into enhancing model transparency - what exactly can we tweak to get xyz desired outcome? , and I guess lots of advocacy & evangelism work - convincing lots of different kinds of people to care, to come to the table, contribute to shape policy, legislation, Governance best practises, have a voice, because they have a stake. Watch the talk! It's short and really great!

Operationalizing Responsible AI https://lnkd.in/eNuCPtxZ This video from our AI Engineering Workforce Development group introduces operationalizing Responsible AI in order to build systems that are trustworthy. Topics include Understanding complexity of content, designing for Human-Machine teaming, and engaging in critical oversight. #ai #trustworthyai #humanmachine

Reid Hoffman predicts that AI will remain a tool for human amplification rather than full automation for decades to come. He emphasizes AI's current limitations in areas like adversarial game-playing and contextual understanding, which are uniquely human strengths. While AI can already outperform humans in specific tasks, its role will be as a collaborator rather than a competitor in most industries. Hoffman also stresses the importance of proper governance and safety measures to ensure AI benefits society without exacerbating risks. Summary 📚 AI as Human Amplification: Reid Hoffman argues that AI is best viewed as a tool for amplifying human abilities rather than replacing them. AI is currently assisting in various sectors but lacks the human adaptability and contextual awareness needed for more complex tasks. 📚 Collaborative Future: Hoffman foresees a future where AI and humans collaborate over the next several decades. Rather than taking over, AI will assist humans in decision-making and productivity, especially in fields like marketing and healthcare. 📚 AI Limitations: He emphasizes AI's limitations, particularly its inability to adapt contextually or play adversarial games. Humans retain an edge in out-of-the-box thinking and creative problem-solving. 📚 Governance and Safety: Hoffman stresses the importance of responsible AI governance, with cross-checking systems to ensure AI aligns with ethical guidelines and human values. 📚 Diverse AI Ecosystems: He advocates for the development of diverse AI models across different nations, cautioning against the centralization of AI power in just a few companies or countries. 📚 Ethical Considerations: Hoffman highlights the need for AI systems to prioritize human well-being, focusing on societal benefits rather than solely driving profits for companies. 📚 Economic Impact: AI is set to revolutionize industries, but Hoffman warns that its economic models must be carefully managed to prevent negative societal consequences, such as job displacement or over-centralization of power. 📚 AI's Role in Healthcare: Hoffman discusses the potential of AI to serve as a digital assistant in healthcare, providing diagnostic and decision-making support for medical professionals. 📚 Adversarial Game-Playing: Despite its strengths, AI still struggles with creative problem-solving and adversarial game-play, where humans excel in thinking outside predefined rules. 📚 Long-Term Outlook: Hoffman concludes that AI will continue to be a powerful tool for human progress, but its true potential will depend on ongoing human oversight, collaboration, and innovation. #learningdispatch #aieducation #ai #artificialintelligence #machinelearning #businessintelligence #technology #futureofwork #innovation #automation #aitools

🚀 Navigating the Future of AI: Trends, Regulations, and Business Insights In an era where Artificial Intelligence (#AI) is reshaping industries, staying ahead of key trends and regulatory changes is essential. MoodMe's latest blog, "Key Trends, Regulatory Developments, and Business Implications for Today's AI," offers a comprehensive overview of the evolving AI landscape. From groundbreaking technological advancements to critical regulatory frameworks shaping the deployment and ethical considerations of AI, this article provides valuable insights for businesses and professionals. Understand how these trends not only influence the development and application of AI but also highlight the strategic considerations businesses must navigate to harness AI's full potential responsibly. Whether you're an AI enthusiast, a business leader, or a policy maker, this piece sheds light on the significant impact of AI on our economy, society, and ethical boundaries. It underscores the importance of informed, strategic decision-making in leveraging AI technologies for future success. 👉 Delve into the article to grasp the key AI trends, navigate through the latest regulatory developments, and uncover the strategic business implications that will define the future of technology. Read More: https://lnkd.in/eC7jbFKy #ArtificialIntelligence #AITrends #RegulatoryDevelopments #BusinessStrategy

I attended an insightful fireside chat on inclusive AI and data sovereignty this week, hosted by Data & Society Research Institute and Partnership on AI, featuring the important work of Keoni Mahelona. Keoni has led the development of an Automatic Speech Recognition (ASR) platform to preserve the Māori language that emphasizes the importance of positive, inclusive AI and data sovereignty. The tool created allows the Māori people to learn their own language and benefit from their data. As I reflect on this conversation this week, how might we move beyond just "responsible AI" to *beneficial* and *inclusive* AI systems? And, what exactly do we mean by inclusive and beneficial? Some key guidance: 👉 Center Community Throughout: Community empowerment in decision-making leads to better outcomes. 👉 Inclusive Participation is Key: Engaging with underrepresented groups is crucial to ensuring unbiased data. 👉 Prioritize Good Data Governance: Proper data management is critical for valuable training data and impactful outputs. (Remember, bad data practices = bad outputs!) As we advance our missions for the betterment of our communities, justice is our guide. As such, we must make sure our values guide our technology development, too. In addition to these ideas above, what other ways might we prioritize inclusive, beneficial AI adoption? #AI #DataSovereignty #InclusiveAI #GoodDataGovernance #technology

Insightful takeaways from a recent panel discussion on AI in Coworking Pula, Croatia! Our Goran Mrvos, along with Diana Kukić Dasko (Lloyds digital), Aleksandar Raic (Infobip), Dean Verbanac (Intersoft Technologies) and AI researcher Aco Momcilovic, discussed the transformative power of AI. From boosting productivity with tools like Microsoft’s Copilot to enhancing travel experiences, the possibilities are endless. But we should keep in mind that AI isn't a magic wand – understanding its capabilities and limitations is key. https://lnkd.in/dxFCDARj ICT ISTRA #TechTalks #AI

Just as business leaders accept that generative AI should be taken seriously, a new sheriff is taking the business world by storm. It is called Agentic AI. Futurists predict that 2025 will be the year that Agentic AI goes mainstream. Are they right? I explore why it’s shaping up to be one of the big tech buzzwords businesses — and employees — need to be careful of. #ArtificialIntelligence #Technology #Future https://lnkd.in/ezcwRhnm

The landscape of Artificial Intelligence is evolving in 2024 and is poised to significantly alter the operational landscape for businesses. In what ways is your company adopting AI in the current year? Total Presence Management

A recent survey showed that a majority of executives think that it will take at least two years to “move beyond the hype” around AI. Only 5% of U.S-based firms of all sizes said they used AI and a further 7% plan to adopt AI within the next six months. So what's keeping CEOs from diving into AI for their enterprise? #aiforceos #enterpriseai #aimyths https://lnkd.in/g8-YFFRM