Didi Azaria’s Post

The rise of AI has led to the emergence of the Chief AI Officer role, highlighting the importance of dedicated leadership in navigating AI strategies. Whether companies choose to staff an official CAIO role or not, it is critical to align AI risk/value deliberately, ensuring complementary policies and practice across the business, promoting innovation/experimentation while mitigating risks. As companies increasingly rely on AI - and as AI capabilities evolve at an astronomical pace - driving AI with intentionality (with or without a CAIO :)) has become pivotal in steering AI development and implementation to drive competitive advantage AND to avoid the obvious and dramatic pitfalls. #AILeadership #ChiefAIOfficer #Innovation

🚀 Exciting news from the world of artificial intelligence! 🌌 NASA, the renowned space agency, has taken a giant leap forward in guiding responsible usage of AI for its missions and research projects. They have just appointed their first-ever Chief Artificial Intelligence Officer! [3] [1] [2] 🤖 In a world where AI is becoming increasingly prevalent, it is crucial to have leaders who can navigate the complexities and ensure that this powerful technology is used ethically and responsibly. NASA's decision to appoint a dedicated AI officer demonstrates their commitment to harnessing the potential of AI while prioritizing safety and ethical considerations. 👩🚀 This move comes at a time when the European Union is also taking significant steps to regulate the AI sector. The EU recently passed the groundbreaking AI Act, which sets comprehensive regulations for the use of AI. This act is not only the first of its kind in Europe but also the first global regulation for the AI sector. 🌍 By aligning with the EU's pioneering regulations, NASA is positioning itself as a global leader in responsible AI usage. This collaboration between NASA and the EU sets a powerful precedent for other organizations and countries to follow. It highlights the importance of international cooperation in shaping the future of AI. 🤝 As the Director of Innovation, I am thrilled to see NASA taking this bold step. It reinforces the idea that AI is not just a buzzword but a transformative technology that requires careful management. By appointing a Chief AI Officer, NASA is ensuring that AI is integrated seamlessly into their missions, research, and exploration endeavors. 🌠 I invite you all to join the conversation and share your thoughts on this exciting development. How do you think the appointment of a Chief AI Officer will impact NASA's future projects? What are your expectations for the responsible use of AI in space exploration? Let's discuss and shape the future together! 💬 #AI #NASA #ArtificialIntelligence #Innovation #SpaceExploration #Ethics #ResponsibleAI #EURegulations #FutureTech References: [1] EU Passes Comprehensive Law on Artificial Intelligence, Heralding a New Era of AI Regulation: https://lnkd.in/dY92J8vC [2] EU Countries Endorse AI Act, Due Next Month: https://lnkd.in/dQicbxGz [3] EU pioneers global regulation of artificial intelligence sector: https://lnkd.in/dYuufzMc

From routine tasks to complex missions, AI is playing a vital role in enhancing safety, efficiency, and accuracy in space exploration. It is aiding astronauts in their daily life, ensuring optimal communication with the ground control, predicting and mitigating potential risks, and even conducting research. It is also paving the way for autonomous spacecraft and rovers, taking space exploration to new, uncharted territories. One such example is NASA’s Mars Rover, Perseverance, which is equipped with an AI system that allows it to navigate the Martian terrain autonomously. Another is CIMON, an AI-powered assistant on the International Space Station, designed to aid astronauts with their work and even boost their morale. Stay tuned for more stories about how AI is transforming industries and our lives. #AIinSpace #ArtificialIntelligence #SpaceExploration

When new technology rolls in to disrupt your industry—and even your job—some react with fear. Others find ways to adjust…to get in front of it. In the movie Hidden Figures, Katherine Johnson demonstrated the ability to adjust to a technology—a machine that would replace her. She took the time to understand the technology, and how it helped NASA, and then she adjusted by learning different skills, making herself irreplaceable. Find out more about how to become irreplaceable in the world of AI. Check out the blog post. https://buff.ly/3s54VXv

From routine tasks to complex missions, AI is playing a vital role in enhancing safety, efficiency, and accuracy in space exploration. It is aiding astronauts in their daily life, ensuring optimal communication with the ground control, predicting and mitigating potential risks, and even conducting research. It is also paving the way for autonomous spacecraft and rovers, taking space exploration to new, uncharted territories. One such example is NASA’s Mars Rover, Perseverance, which is equipped with an AI system that allows it to navigate the Martian terrain autonomously. Another is CIMON, an AI-powered assistant on the International Space Station, designed to aid astronauts with their work and even boost their morale. Stay tuned for more stories about how AI is transforming industries and our lives. #AIinSpace #ArtificialIntelligence #SpaceExploration

Blue = historical development in data & models, Orange = beliefs on EO trends My thoughts The focus of AI algorithms has shifted between being model-centric and data-centric over time! But, I believe a single focus is insufficient at this stage! Instead, there must be a balanced emphasis on both data quality and model innovation. Maybe the era of data-model-centric approaches?! The rise of foundation models, such as our pioneering #SpectralGPT and other remarkable contributions from colleagues at Microsoft, IBM, NASA - National Aeronautics and Space Administration, European Space Agency - ESA, Technical University of Munich, and others in the field of #EarthObservation, might be a proof of this statement. It is still wonderful to see that innovations in our community are led by universities and public sectors (as well as SMEs), and that innovation is not fully controlled by big tech companies! This fantastic synergy (competition!) pushes our community forward! There are so many other things in this figure ... P.S. The use of AI can be traced back to much earlier than the 1950s. Here, by the birth of AI, I refer to the distinct field that is often attributed to a workshop held at Dartmouth College in the summer of 1956.

The concept of responsible AI gained significant attention in the late 2010s and early 2020s, and with generative-adversarial approaches as one of the catalysts. During this period, concerns about AI biases, fairness, transparency and accountability began to gain prominence. This era also saw the release of ethical guidelines like the IEEE’s ”Ethically Aligned Design” (2016) and the ACM’s updated Code of Ethics (2018). In the early 2020s, regulatory efforts intensified with the European Commission’s ”Ethics Guidelines for Trustworthy AI” (2019) and the OECD.AI’s AI Principles (2019). Major tech companies like Google and Microsoft established dedicated responsible AI teams and initiatives. The concept of responsible AI continued to evolve, integrating into AI development pipelines and emphasizing both data quality and model innovation. Standardization efforts by organizations like ISO and educational initiatives further promoted responsible AI practices, addressing ethical considerations such as fairness, transparency, and bias mitigation. More information at "RESPONSIBLE AI FOR EARTH OBSERVATION" ArXiv: https://lnkd.in/dQsgZFYb

🚀 The concept of digital twins may sound new, but it’s been pioneered by NASA back in the 1960s.   So, what can (and cannot) modern digital twins do in the manufacturing? And how the proliferation of artificial intelligence (AI) helps make new advances. You’ll get answers to these questions from our expert Oleg Nalyvaiko in our latest post 👉 https://bit.ly/3ORmW3N

Understanding Risk, Artificial Intelligence, and Improving Software Quality - NASA: Understanding Risk, Artificial Intelligence, and Improving Software Quality  NASA http://dlvr.it/T3yMTz #ai #artificialintelligence

"Working together, NASA and IBM Research have developed a new artificial intelligence model to support a variety of weather and climate applications. The new model – known as the Prithvi-weather-climate foundational model – uses artificial intelligence (AI) in ways that could vastly improve the resolution we’ll be able to get, opening the door to better regional and local weather and climate models.  Foundational models are large-scale, base models which are trained on large, unlabeled datasets and can be fine-tuned for a variety of applications. The Prithvi-weather-climate model is trained on a broad set of data – in this case NASA data from NASA’s Modern-Era Retrospective analysis for Research and Applications (MERRA-2)– and then makes use of AI learning abilities to apply patterns gleaned from the initial data across a broad range of additional scenarios." https://lnkd.in/dxNZ7fsE