Trustworthy AI : De-risk business adoption of AI

In this episode brought to you by Trusted AI, hear about Investment Risks regarding AI and Cybersecurity, Financial fraud challenges from AI Deepfakes and more. Pamela Gupta talks to Jenny Lo who works at Sixty Degree Capital, supporting investment in AI and digital infrastructure and transformative software innovation. The broader business community is already struggling with risks such as data breaches, privacy loss, job loss, ethical challenges, misinformation and disinformation.To protect their portfolios’ stability both now and in the future, investors should tackle both theseimmediate issues as well as the deeper implications of AI. This starts with establishing strong governanceframeworks and clear principles and practices to integrate Responsible, Trustworthy AI standards into all applications.Can Trustworthy AI help De-Risk adoption of AI? ‘Can Trustworthy AI can be instrumental in helping organizations gain a competitive edge and promote better business outcomes, including accelerated innovation with AI’.?With extensive experience in global industry leadership in areas of Business Strategy, Technology, and Cybersecurity, Pamela helps clients in creating a strategic approach to achieving business value with AI by adopting a holistic risk based approach to AI Trust. She defined 8 essential pillars of trustworthy AI. Read more details at Trustedai.ai website. Her insights have shaped the way we look at the impact of Cyberwarfare on Business, strategies for efficient digital transformation, and governance views on Algorithmic failures. Join Pamela as she delves into her signature framework, AI TIPS, standing for Artificial Intelligence Trust, Integrity, Pillars and Sustainability. This podcast is all about operationalizing governance and building Trustworthy AI systems from the ground up. For questions or comments on this podcast reach out to me.

Creating Trustworthy AI in Healthcare is critical. It can impact life and death and quality of life.  We need Strategy, Plans and Action to Address the Privacy, Impact of Algorithm Bias  in Health and Healthcare, and other aspects of Trustworthy AI such as Explainability.In this podcast I speak with Tamra Moore who is one of a handful lawyers in the US associated with legal issues on the use of AI/ML in healthcare, she also has a degree in Biomedical Ethics.I am Pamela Gupta, CEO Trusted AI and host for the thought leadership series Trustworthy AI : De-risk business adoption of AI. Through these talks I am bridging  Strategy and Actionable guidance from global Industry leaders to create practical guidance in reducing risk for managing the complex and high risk area of AI.. I believe we can achieve Trustworthy AI, but in order to do that is essential to be built in at the very DNA of an AI system or adoption, hence the Trusted AI logo – with a DNA strand for I in AI.Tamra is an attorney with over 15 years of federal government and private sector litigation and regulatory experience.She’s currently in-house counsel at a global financial services company, where she advises the Chief Data Officer and others on legal and regulatory compliance issues. These issues are related to the development and use of AI and ML models in consumer-facing products and internal operations. Last year, at the invitation of the NIH and Agency for Healthcare Quality and Research, she participated on a consensus panel looking at racial bias in healthcare algorithms.We discuss :1.     How can we “Address the Impact of Algorithm Bias on Racial and Ethnic Disparities in Health and Healthcare.”2.     What is the US regulatory landscape with respect to the use of AI in healthcare? 3.     What is the HHS rule on Algorithmic transparency. What is it, who is impacted and what does one have to do to be compliant.Tamra talks about the Office of the National Coordinator for Health Information Technology (ONC) Health Data, Technology, and Interoperability: Certification Program Updates, Algorithm Transparency, and Information Sharing (HTI-1) rule.4.     What are some of the challenges of implementing a governance framework for healthcare algorithms used in a hospital setting?  Can Trustworthy AI help De-Risk adoption of AI? ‘Can Trustworthy AI can be instrumental in helping organizations gain a competitive edge and promote better business outcomes, including accelerated innovation with AI’.?With extensive experience in global industry leadership in areas of Business Strategy, Technology, and Cybersecurity, Pamela helps clients in creating a strategic approach to achieving business value with AI by adopting a holistic risk based approach to AI Trust. She defined 8 essential pillars of trustworthy AI. Read more details at Trustedai.ai website. Her insights have shaped the way we look at the impact of Cyberwarfare on Business, strategies for efficient digital transformation, and governance views on Algorithmic failures. Join Pamela as she delves into her signature framework, AI TIPS, standing for Artificial Intelligence Trust, Integrity, Pillars and Sustainability. This podcast is all about operationalizing governance and building Trustworthy AI systems from the ground up. For questions or comments on this podcast reach out to me.

In this episode of Trustworthy AI : help De-Risk adoption of AI, Trusted AI CEO Pamela Gupta talks with Kimberly Gold. Chief Privacy Officer, Executive Director at Genentech  IAPP Advisory Board Member | Speaker | Privacy & AI Governance Professional | Healthcare Technology LeaderGenentech pioneered the biotechnology industry and revolutionized treatment for some of the most complex health problems.Genentech is a biotechnology company dedicated to pursuing groundbreaking science to discover and develop medicines for people with serious and life-threatening diseases. Their transformational discoveries include the first targeted antibody for cancer and the first medicine for primary progressive multiple sclerosis. We discuss the additional challenge posed by the fluid and inconsistent current  privacy laws in each US State,Privacy program management challenges in industry, Safe adoption of Generative AI and essential data protection practices. We also discuss EU AI Act impact on US Companies. Can Trustworthy AI help De-Risk adoption of AI? ‘Can Trustworthy AI can be instrumental in helping organizations gain a competitive edge and promote better business outcomes, including accelerated innovation with AI’.?With extensive experience in global industry leadership in areas of Business Strategy, Technology, and Cybersecurity, Pamela helps clients in creating a strategic approach to achieving business value with AI by adopting a holistic risk based approach to AI Trust. She defined 8 essential pillars of trustworthy AI. Read more details at Trustedai.ai website. Her insights have shaped the way we look at the impact of Cyberwarfare on Business, strategies for efficient digital transformation, and governance views on Algorithmic failures. Join Pamela as she delves into her signature framework, AI TIPS, standing for Artificial Intelligence Trust, Integrity, Pillars and Sustainability. This podcast is all about operationalizing governance and building Trustworthy AI systems from the ground up. For questions or comments on this podcast reach out to me.

In this episode of Trustworthy AI: De-risk business adoption of AI – I discuss real world implementation of Responsible AI Principles at one the largest telecommunications service providers in the world – Telefónica. Dr Richard Benjamins is the former Chief Responsible AI Officer at Telefonica and founder of its “AI for Society and Environment” area, where he played a pivotal role in shaping Telefónica's approach to the ethical use of artificial intelligence. He is among the 100 most influential people in data-driven business (DataIQ 100, 2018)Dr. Benjamins is co-founder and CEO of the Spanish observatory for ethical and social impacts of AI (OdiseIA). This is a must hear conversation for those looking to create a competitive edge using AI. Integration of Trustworthy AI at the foundation of AI Initiatives is not only important, it can be the most critical element in shaping intended outcomes and the trajectory of success.We discuss:Challenges in big companies in adopting Responsible AI/Trustworthy AIVision and Leadership buy in necessary for adoptionAI Champions and more… Trusted AI is providing the help for Organizations at different levels of maturity in AI Risk Management and Governance achieve AI Center of Excellence and maturity, visit Trusted AI as a Service to book https://www.trustedai.ai/ai-trust-as-a-service/Can Trustworthy AI help De-Risk adoption of AI? ‘Can Trustworthy AI can be instrumental in helping organizations gain a competitive edge and promote better business outcomes, including accelerated innovation with AI’.?With extensive experience in global industry leadership in areas of Business Strategy, Technology, and Cybersecurity, Pamela helps clients in creating a strategic approach to achieving business value with AI by adopting a holistic risk based approach to AI Trust. She defined 8 essential pillars of trustworthy AI. Read more details at Trustedai.ai website. Her insights have shaped the way we look at the impact of Cyberwarfare on Business, strategies for efficient digital transformation, and governance views on Algorithmic failures. Join Pamela as she delves into her signature framework, AI TIPS, standing for Artificial Intelligence Trust, Integrity, Pillars and Sustainability. This podcast is all about operationalizing governance and building Trustworthy AI systems from the ground up. For questions or comments on this podcast reach out to me.

Trustworthy AI : De-risk adoption of AI - Facial Recognition I am Pamela Gupta, CEO Trusted AI and host for series  Trustworthy AI : De-risk business adoption of AI. I believe we can achieve Trustworthy AI, but in order to do that is essential to be built in at the very dna of an AI system or adoption, hence the Trusted AI logo – with a DNA strand for I in AI.Facial Recognition is a controversial technology , can we use to for intended outcomes, use it intentionally and with guard rails? In this episode I discuss the Risks and mitigation with Daniel Eboral – one of the leaders in deployment of Ethical AI. The privacy and ethical risks associated with facial recognition technology (FRS) are significant and multifaceted. These concerns are not only related to the technology's accuracy and the potential for misuse but also involve deeper issues around consent, bias, and broader society.Can Trustworthy AI help De-Risk adoption of AI? ‘Can Trustworthy AI can be instrumental in helping organizations gain a competitive edge and promote better business outcomes, including accelerated innovation with AI’.?With extensive experience in global industry leadership in areas of Business Strategy, Technology, and Cybersecurity, Pamela helps clients in creating a strategic approach to achieving business value with AI by adopting a holistic risk based approach to AI Trust. She defined 8 essential pillars of trustworthy AI. Read more details at Trustedai.ai website. Her insights have shaped the way we look at the impact of Cyberwarfare on Business, strategies for efficient digital transformation, and governance views on Algorithmic failures. Join Pamela as she delves into her signature framework, AI TIPS, standing for Artificial Intelligence Trust, Integrity, Pillars and Sustainability. This podcast is all about operationalizing governance and building Trustworthy AI systems from the ground up. For questions or comments on this podcast reach out to me.

Excited to bring real work application of #responsibleai #trustedai in Manufacturing. It was a pleasure talking to a truly strategic leader Namrita Mahindro on the issues, solutions of Responsible/Trustworthy AI in Manufacturing.In this episode of "Trustworthy AI: De-risk business adoption of AI" Your host Pamela Gupta talks with Namrita Mahindro Chief Digital  and information officer CDIO Aditya Birla Chemicals. Namrita has led award winning, end to end transformations (omni-channel customer experience, manufacturing and supply chain) for Aditya Birla Chemicals, Mahindra Auto & Club Mahindra, Taj Hotels. She has Conceptualized, designed and implemented future driven strategies interwoven with exponential technologies building a culture of customer centricity and operational excellence whilst delivering business impact through revenue growth & profit maximization in complex, distributed, scale environments.She has a passion and Keen interest in Responsible AI to building and creating ethical, AI sustainable solutions Teaching at University of Oxford on Responsible AI, Follow Namrita’s podcast on AI, Talks with NamritaWe discuss:Value of AI for manufacturing as it shifted to human centric and optimization;Humans and cobots centers business challenges and solutionsWhat is Responsible Trustworthy AI in ManufacturingDoes it add value or challenges for manufacturing?Solutions for Human Machine Interface risksHer Risk Model for Human, Machine and compliance..There are a lot of pragmatic and real world adoption issues and insights. If you have comments or questions please contact me at https://lnkd.in/ejuUmbJ6Watch at: https://lnkd.in/exfQwCtySubscribe to podcast by selecting your platform at: https://lnkd.in/efiv5wi4#ai #aichallenges #thoughtleadership #CDO #CIO Can Trustworthy AI help De-Risk adoption of AI? ‘Can Trustworthy AI can be instrumental in helping organizations gain a competitive edge and promote better business outcomes, including accelerated innovation with AI’.?With extensive experience in global industry leadership in areas of Business Strategy, Technology, and Cybersecurity, Pamela helps clients in creating a strategic approach to achieving business value with AI by adopting a holistic risk based approach to AI Trust. She defined 8 essential pillars of trustworthy AI. Read more details at Trustedai.ai website. Her insights have shaped the way we look at the impact of Cyberwarfare on Business, strategies for efficient digital transformation, and governance views on Algorithmic failures. Join Pamela as she delves into her signature framework, AI TIPS, standing for Artificial Intelligence Trust, Integrity, Pillars and Sustainability. This podcast is all about operationalizing governance and building Trustworthy AI systems from the ground up. For questions or comments on this podcast reach out to me.

In this episode of "Trustworthy AI: De-risk business adoption of AI"  your host Pamela Gupta is talking with a authority  on Trustworthy Generative AI and LLMS,  Krishnaram Kenthapadi. Chief AI Officer & Chief Scientist of Fiddler AI, Krishnaram is leading initiatives on generative AI, on AI safety, and trustworthiness, as well as the technical strategy, customer-driven innovation, and thought leadership for Fiddler. He received his Ph.D. in Computer Science from Stanford University, went on to research at Microsoft, represented LinkedIn at Microsoft's AI Ethics Advisory Board, was the Principal Scientist at Amazon, where he led the responsible AI initiatives in AWS ML, and shaped new initiatives such as Amazon SageMaker Clarify from inception to launch.Join us for a in depth discussion on: 1.    What is trustworthiness of LLMS2.    Trustworthy AI Challenges for LLMs; Are they different from predictive AI?3.    How does it impact businesses – is it different between organizations creating than those implementing?4.    What are some ways of deplying Trustworthy LLMS? Is testing LLM pre deployments  sufficient and effective for production performance?5.    What can companies do to prepare for Responsible AI by design;6.    Incentives for different stakeholders.7.    Prepare for current and upcoming future by drawing parallels with synthetic biology?Can Trustworthy AI help De-Risk adoption of AI? ‘Can Trustworthy AI can be instrumental in helping organizations gain a competitive edge and promote better business outcomes, including accelerated innovation with AI’.?With extensive experience in global industry leadership in areas of Business Strategy, Technology, and Cybersecurity, Pamela helps clients in creating a strategic approach to achieving business value with AI by adopting a holistic risk based approach to AI Trust. She defined 8 essential pillars of trustworthy AI. Read more details at Trustedai.ai website. Her insights have shaped the way we look at the impact of Cyberwarfare on Business, strategies for efficient digital transformation, and governance views on Algorithmic failures. Join Pamela as she delves into her signature framework, AI TIPS, standing for Artificial Intelligence Trust, Integrity, Pillars and Sustainability. This podcast is all about operationalizing governance and building Trustworthy AI systems from the ground up. For questions or comments on this podcast reach out to me.

In this episode of Trustworthy AI : help De-Risk adoption of AI,Trusted AI CEO Pamela Gupta talks with Piercosma Bisconti who is the Project Leader of the EU standard “AI Trustworthiness Framework”.Piercosma is leading this inside the CEN-CENELEC, the EU standardization committee.  We discuss the the 𝐀𝐈 𝐓𝐫𝐮𝐬𝐭𝐰𝐨𝐫𝐭𝐡𝐢𝐧𝐞𝐬𝐬 𝐅𝐫𝐚𝐦𝐞𝐰𝐨𝐫𝐤 project,  a step forward for building the overarching framework of the EU's AI standardization ecosystem.I asked "This standard will help create a NorthStar for preparation for compliance with the EU AI Act, so all eyes on you Piercosma", he smiled as he responded "No Pressure".To relieve that pressure on creators and impacted I am happy to announce to keep you posted on next steps, developments and our new "Trusted AI as a Service" product launch! See more details on https://www.trustedai.ai/ai-trust-as-a-service/Can Trustworthy AI help De-Risk adoption of AI? ‘Can Trustworthy AI can be instrumental in helping organizations gain a competitive edge and promote better business outcomes, including accelerated innovation with AI’.?With extensive experience in global industry leadership in areas of Business Strategy, Technology, and Cybersecurity, Pamela helps clients in creating a strategic approach to achieving business value with AI by adopting a holistic risk based approach to AI Trust. She defined 8 essential pillars of trustworthy AI. Read more details at Trustedai.ai website. Her insights have shaped the way we look at the impact of Cyberwarfare on Business, strategies for efficient digital transformation, and governance views on Algorithmic failures. Join Pamela as she delves into her signature framework, AI TIPS, standing for Artificial Intelligence Trust, Integrity, Pillars and Sustainability. This podcast is all about operationalizing governance and building Trustworthy AI systems from the ground up. For questions or comments on this podcast reach out to me.

In this episode of "Trustworthy AI: De-risk business adoption of AI" Creating a safer digital space, Your host Pamela Gupta is talking to Yonah Welker. Yonah Welker is an AI expert, technology explorer and public voice for algorithmic diversity working on European Commission-funded research, technology, and innovation projects.  He is a Serial Technologist, Public Evaluator, Commission's Board, Voice For Algorithms, Spectrums, Policies, Acts  @EU_Commission @MIT @WEF  @EU-MENA-US We discuss the impact of EU AI Act on a variety of successful technology projects addressing accessibility of public spaces, cognitive and sensory impairments, medical and educational technologies, such as social robotics for children with autism, eyes-tracking systems supportingreading impairments and dyslexia, smart tablets for individuals withvisual impairments, variety of rehabilitation and medical technologies. The final provision of the AI Act expands the categories of high and unacceptable risk systems, introduces stricter compliance on emotion recognition, publicly accessible workplaces and educational spaces, dedicated rules addressing general-purpose AI, “specific transparency risks”, and the list of special cases, exceptions and comments, including biometrics systems and law-enforcement.Can Trustworthy AI help De-Risk adoption of AI? ‘Can Trustworthy AI can be instrumental in helping organizations gain a competitive edge and promote better business outcomes, including accelerated innovation with AI’.?With extensive experience in global industry leadership in areas of Business Strategy, Technology, and Cybersecurity, Pamela helps clients in creating a strategic approach to achieving business value with AI by adopting a holistic risk based approach to AI Trust. She defined 8 essential pillars of trustworthy AI. Read more details at Trustedai.ai website. Her insights have shaped the way we look at the impact of Cyberwarfare on Business, strategies for efficient digital transformation, and governance views on Algorithmic failures. Join Pamela as she delves into her signature framework, AI TIPS, standing for Artificial Intelligence Trust, Integrity, Pillars and Sustainability. This podcast is all about operationalizing governance and building Trustworthy AI systems from the ground up. For questions or comments on this podcast reach out to me.

In this episode of Trustworthy AI: De-Risk adoption of AI on  Responsible AI uses in Legal profession, I talk with Dr Megan Ma, MIT Law Responsible Task Force member that was formed to address growing concerns around the responsible and ethical use of AI in the legal profession following the infamous incident of a New York attorney submitting a fake, ChatGPT-generated brief in federal court and subsequently being fined $5,000.Dr Ma is a Fellow and the Assistant Director of the Stanford Program in Law, Science, and Technology and the Stanford Center for Legal Informatics (CodeX). Her research focuses on the translation of legal knowledge to code, considering its implications in contexts of human-machine interaction. She also teaches courses in computational law and insurance tech at the Law School.She has taught courses in Artificial Intelligence and Legal Reasoning, Legal Semantics, and Public Health Law and Policy. She has previously been a Visiting PhD at the University of Cambridge and Harvard Law School respectively. We discuss using Responsible/Trustworthy AI principles and parallels between business and legal realms when it comes to promote better business outcomes, including accelerated innovation with AI’.? Megan and I go in depth on the challenges she is seeing and solving in her role and main focus.MIT Task force Responsible AI recommendations and adoption by the California American Bar Association’s of the taskforce recommendations on Responsible AI. The Task Force’s 7 principles for lawyer’s duties when using AI for legal work namelyDuty of Confidentiality Duty of Fiduciary Care Duty of Client Notice and ConsentDuty of Competence in the usage and understanding of AI applications.Duty of Fiduciary Loyalty Duty of Regulatory Compliance and respect for the rights of third parties, applicable to the usage of AI applications in your jurisdiction(s);Duty of Accountability and Supervision to maintain human oversight over all usage and outputs of AI applications. Optimizing technology to alleviate legal problemsFuture of legal education and more...Using Generative AI responsibly..Youtube link: https://youtu.be/aIS1o00ZwjQCan Trustworthy AI help De-Risk adoption of AI? ‘Can Trustworthy AI can be instrumental in helping organizations gain a competitive edge and promote better business outcomes, including accelerated innovation with AI’.?With extensive experience in global industry leadership in areas of Business Strategy, Technology, and Cybersecurity, Pamela helps clients in creating a strategic approach to achieving business value with AI by adopting a holistic risk based approach to AI Trust. She defined 8 essential pillars of trustworthy AI. Read more details at Trustedai.ai website. Her insights have shaped the way we look at the impact of Cyberwarfare on Business, strategies for efficient digital transformation, and governance views on Algorithmic failures. Join Pamela as she delves into her signature framework, AI TIPS, standing for Artificial Intelligence Trust, Integrity, Pillars and Sustainability. This podcast is all about operationalizing governance and building Trustworthy AI systems from the ground up. For questions or comments on this podcast reach out to me.