📣 Panel Alert #TEDAI: Responsible AI – Balancing Innovation and Accountability. 💡 Join industry leaders for a dynamic panel on Responsible AI, where experts will tackle the challenges of balancing innovation with risk management in today’s AI landscape. Gain insights into promoting transparency, mitigating bias, and ensuring AI systems align with business goals and societal values. Meet the Panelists: Peter Hallinan, Director of Responsible AI, AWS – advancing Responsible AI practices at Amazon Web Services. Ed Newton-Rex, Founder, Fairly Trained – building fairer AI training data practices and leading innovations in generative AI. Susannah Stroud Wright, Chief Legal Officer, Credit Karma – managing legal and compliance for one of the largest financial tech companies. 📝 Moderator: Jennifer Kosar, Partner, US Assurance AI Leader, PwC – helping organizations implement responsible AI practices and GenAI capabilities. Join this essential conversation to explore practical strategies for deploying AI responsibly in a rapidly evolving world. ✨ Be the part of #TEDAI 2024 and explore how innovative organizations are leading the way in creating AI with lasting positive impact. #ResponsibleAI #AIInnovation #AIEthics #AIRegulation
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Excited to be a part of #TEDAI again in a few weeks, moderating a panel discussion on where we are today in the journey towards #responsibleAI. As AI becomes intrinsic in our society, businesses, and day to day lives, the balance between innovation and accountability is ever more present. Where are we now and where do we go from here? Looking forward to insights from a group of panelists I know will have practical perspectives. Dan Priest Julia Lamm Sarah Gerlock Carmen Vasilatos
📣 Panel Alert #TEDAI: Responsible AI – Balancing Innovation and Accountability. 💡 Join industry leaders for a dynamic panel on Responsible AI, where experts will tackle the challenges of balancing innovation with risk management in today’s AI landscape. Gain insights into promoting transparency, mitigating bias, and ensuring AI systems align with business goals and societal values. Meet the Panelists: Peter Hallinan, Director of Responsible AI, AWS – advancing Responsible AI practices at Amazon Web Services. Ed Newton-Rex, Founder, Fairly Trained – building fairer AI training data practices and leading innovations in generative AI. Susannah Stroud Wright, Chief Legal Officer, Credit Karma – managing legal and compliance for one of the largest financial tech companies. 📝 Moderator: Jennifer Kosar, Partner, US Assurance AI Leader, PwC – helping organizations implement responsible AI practices and GenAI capabilities. Join this essential conversation to explore practical strategies for deploying AI responsibly in a rapidly evolving world. ✨ Be the part of #TEDAI 2024 and explore how innovative organizations are leading the way in creating AI with lasting positive impact. #ResponsibleAI #AIInnovation #AIEthics #AIRegulation
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🚀 The Future is Now: Embracing Generative AI in Professional Services The latest report by the Thomson Reuters Institute offers an insightful glimpse into the transformative potential of generative AI (GenAI) for legal, tax & accounting, risk & fraud, and government sectors. Key Takeaways: GenAI is breaking ground, with around 1/4 of professionals updating work processes. Despite hesitance, optimism thrives; many are open to exploring GenAI's capabilities. Efficiency and billing models may evolve, with alternative fee arrangements on the rise. Ethical use and data security remain top concerns, highlighting the need for vigilant oversight. As we stand on the brink of the GenAI era, the question isn't if but how swiftly firms will navigate this tidal shift towards AI-augmented workspaces. Tell us, how ready are you to adopt GenAI in your field? #generativeAI #futureofwork #professionalinnovation
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Chief Information Officers (CIOs) are in a tight spot, facing the tricky task of harnessing AI while navigating the risks of unchecked experimentation. It's a bit of a Wild West out there, with MIT research spotlighting the perks for the early birds, yet most wins are confined to small-scale test runs. Enter "shadow AI," a term coined by EY Global Consulting AI Leader Dan Diasio. This unchecked growth can lead to a minefield of issues around trust, bias, and security, not to mention the headache of scaling these projects for the big leagues. Companies fixated on quick fixes risk missing the big picture: leveraging AI for a full-scale revolution. The smart move? A top-down strategy, cultivating a culture that maximizes AI's potential and promotes responsible use. CIOs, it's your move to steer this ship right — here's how... https://lnkd.in/etX6VfTv
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Chief Information Officers (CIOs) are in a tight spot, facing the tricky task of harnessing AI while navigating the risks of unchecked experimentation. It's a bit of a Wild West out there, with MIT research spotlighting the perks for the early birds, yet most wins are confined to small-scale test runs. Enter "shadow AI," a term coined by EY Global Consulting AI Leader Dan Diasio. This unchecked growth can lead to a minefield of issues around trust, bias, and security, not to mention the headache of scaling these projects for the big leagues. Companies fixated on quick fixes risk missing the big picture: leveraging AI for a full-scale revolution. The smart move? A top-down strategy, cultivating a culture that maximizes AI's potential and promotes responsible use. CIOs, it's your move to steer this ship right — here's how... https://lnkd.in/etX6VfTv
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Chief Information Officers (CIOs) are in a tight spot, facing the tricky task of harnessing AI while navigating the risks of unchecked experimentation. It's a bit of a Wild West out there, with MIT research spotlighting the perks for the early birds, yet most wins are confined to small-scale test runs. Enter "shadow AI," a term coined by EY Global Consulting AI Leader Dan Diasio. This unchecked growth can lead to a minefield of issues around trust, bias, and security, not to mention the headache of scaling these projects for the big leagues. Companies fixated on quick fixes risk missing the big picture: leveraging AI for a full-scale revolution. The smart move? A top-down strategy, cultivating a culture that maximizes AI's potential and promotes responsible use. CIOs, it's your move to steer this ship right — here's how... https://lnkd.in/etX6VfTv
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Chief Information Officers (CIOs) are in a tight spot, facing the tricky task of harnessing AI while navigating the risks of unchecked experimentation. It's a bit of a Wild West out there, with MIT research spotlighting the perks for the early birds, yet most wins are confined to small-scale test runs. Enter "shadow AI," a term coined by EY Global Consulting AI Leader Dan Diasio. This unchecked growth can lead to a minefield of issues around trust, bias, and security, not to mention the headache of scaling these projects for the big leagues. Companies fixated on quick fixes risk missing the big picture: leveraging AI for a full-scale revolution. The smart move? A top-down strategy, cultivating a culture that maximizes AI's potential and promotes responsible use. CIOs, it's your move to steer this ship right — here's how... https://lnkd.in/eb9cM3CV
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Chief Information Officers (CIOs) are in a tight spot, facing the tricky task of harnessing AI while navigating the risks of unchecked experimentation. It's a bit of a Wild West out there, with MIT research spotlighting the perks for the early birds, yet most wins are confined to small-scale test runs. Enter "shadow AI," a term coined by EY Global Consulting AI Leader Dan Diasio. This unchecked growth can lead to a minefield of issues around trust, bias, and security, not to mention the headache of scaling these projects for the big leagues. Companies fixated on quick fixes risk missing the big picture: leveraging AI for a full-scale revolution. The smart move? A top-down strategy, cultivating a culture that maximizes AI's potential and promotes responsible use. CIOs, it's your move to steer this ship right — here's how... https://lnkd.in/eFd3QMRg
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The AI revolution is here, and it's time to get on board. With over 30 years of experience in the field and a passion for empowering users, our founder has built Aiimi into a leading AI platform used by top clients like FCA, PwC, and the UK government. Discover the advantages of our technology - from unlocking hidden data insights to streamlining operations and reducing risk. But we also recognize the challenges of AI, such as the potential for uncontrollable AI and the risk of shadow AI in the workplace. Interested in learning more about how AI can benefit businesses while maintaining ethical responsibility? Share your thoughts in the comments. — 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! #aiindustry #datainsights #ethicalai
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Chief Information Officers (CIOs) are in a tight spot, facing the tricky task of harnessing AI while navigating the risks of unchecked experimentation. It's a bit of a Wild West out there, with MIT research spotlighting the perks for the early birds, yet most wins are confined to small-scale test runs. Enter "shadow AI," a term coined by EY Global Consulting AI Leader Dan Diasio. This unchecked growth can lead to a minefield of issues around trust, bias, and security, not to mention the headache of scaling these projects for the big leagues. Companies fixated on quick fixes risk missing the big picture: leveraging AI for a full-scale revolution. The smart move? A top-down strategy, cultivating a culture that maximizes AI's potential and promotes responsible use. CIOs, it's your move to steer this ship right — here's how... https://lnkd.in/etX6VfTv
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Chief Information Officers (CIOs) are in a tight spot, facing the tricky task of harnessing AI while navigating the risks of unchecked experimentation. It's a bit of a Wild West out there, with MIT research spotlighting the perks for the early birds, yet most wins are confined to small-scale test runs. Enter "shadow AI," a term coined by EY Global Consulting AI Leader Dan Diasio. This unchecked growth can lead to a minefield of issues around trust, bias, and security, not to mention the headache of scaling these projects for the big leagues. Companies fixated on quick fixes risk missing the big picture: leveraging AI for a full-scale revolution. The smart move? A top-down strategy, cultivating a culture that maximizes AI's potential and promotes responsible use. CIOs, it's your move to steer this ship right — here's how... https://lnkd.in/eb9cM3CV
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