Tech Seeking Human

Dave Anderson
Tech Seeking Human Podcast

A podcast about the exponential growth of software, technology and AI and the impact it has on humanity with Dave Anderson. Is technology good or bad? Is it helping us or making us worse? What do we need to do to make our society, our parenting, are children aware of it's opportunity and it's shortcomings? They’re the questions some of the smartest people on earth are asking. And the truth is, nobody really knows for sure. A journey of curiosity, discovery, and occasional terror, as we search for answers with scientists, authors, TED talkers, and the brightest minds in tech. Hosted by Aussie tech evangelist Dave Anderson, we’ll dive deep into the myths, realities, and possibilities. Answer your deepest, darkest questions. Blow your mind with surprising and incredible discoveries. And unpack one of the most important, most controversial, most terrifying, and least-understood technologies.

  1. Using Voice AI to Detect Mental Health Disorders - David Liu

    23 AUG

    Using Voice AI to Detect Mental Health Disorders - David Liu

    In this podcast episode Dave Anderson is joined by David Lowe, the CEO of Sonde Health, a company that has developed an AI technology to detect early indications of mental health disorders through analyzing the sound of a person's voice. The conversation explores the potential benefits of using voice AI to identify symptoms of depression, anxiety, and cognitive impairment. They discuss the importance of early detection and intervention, the privacy concerns surrounding voice data, and the goal of improving mental health and productivity in the workplace. The episode highlights the need for increased awareness and understanding of mental health and the potential of AI technology in this field. Takeaways Voice AI technology can analyze the sound of a person's voice to detect early indications of mental health disorders.Early detection and intervention can lead to better outcomes and improved mental health.Privacy concerns surrounding voice data need to be addressed and transparency is crucial.Improving mental health can have a positive impact on workplace productivity. Sound Bites "What if a voice technology could work out whether or not someone had early indication of anxiety, depression, or some form of mental stress? Would you want to know?""We are able to measure the biomarkers, these signals that are coming from a specific data source. And in this case, it's your voice.""No machine can tell you that. You need clinicians. In fact, you need several clinicians to be able to make that determination over time."

    38 min
  2. A Surgeon at the Heart of AI – Dr Zain Khalpey Part 2

    15 MAY

    A Surgeon at the Heart of AI – Dr Zain Khalpey Part 2

    For those that feel that we should be putting more attention toward AI that helps humanity, look no further. Dr Zain Khalpey is one of the best cardiac surgeons on the planet, and yet is restlessly looking at innovative ways to improve patient care. We have split this into two episodes. The summary is across both episodes: Dr. Zain Khalpey discusses the integration of AI and machine learning in cardiac surgery and the potential for reducing medical errors and improving patient outcomes. He emphasizes the importance of cross-pollination and continuous improvement in the field of medicine. Dr. Khalpey shares his vision for an AI-driven healthcare ecosystem and highlights the need for collaboration between clinicians and data scientists. He also discusses the practical applications of AI in surgery, such as improving communication and decision-making within the surgical team. In this part of the conversation, Dr. Zain Khalpey discusses the use of AI in heart surgery and the development of the Kai AI algorithm. He also talks about the importance of wearables and heart rate variability in monitoring and predicting health conditions. Dr. Khalpey addresses concerns about insurance companies using data for predictive analysis and denying coverage based on genetic predispositions. He emphasizes the need for responsible and ethical use of AI in healthcare and the importance of transparency and governance. AI and machine learning have the potential to reduce medical errors and improve patient outcomes in cardiac surgery.Cross-pollination and continuous improvement are essential in the field of medicine.Collaboration between clinicians and data scientists is crucial for the successful integration of AI in healthcare.Practical applications of AI in surgery include improving communication and decision-making within the surgical team. AI is being used in heart surgery to improve decision-making and patient outcomes.Wearables, such as the Ura Ring, have the potential to provide valuable health data, but their accuracy and trustworthiness need to be validated.Insurance companies may use AI and genetic data to deny coverage, highlighting the need for regulations and provisions to protect individuals.The responsible and ethical use of AI in healthcare is crucial, and transparency and governance are essential for building trust.Collaboration and communication between different stakeholders, including clinicians, data scientists, and patients, are necessary for successful AI implementation in healthcare. Dr. Khalpey’s humility and dedication to his patients are inspiringTechnology can be used for good to improve people’s livesPrioritizing work-life balance is essential for personal well-being

    33 min
  3. A Surgeon at the Heart of AI - Dr Zain Khalpey Part 1

    6 MAY

    A Surgeon at the Heart of AI - Dr Zain Khalpey Part 1

    For those that feel that we should be putting more attention toward AI that helps humanity, look no further. Dr Zain Khalpey is one of the best cardiac surgeons on the planet, and yet is restlessly looking at innovative ways to improve patient care. We have split this into two episodes. The summary is across both episodes: Dr. Zain Khalpey discusses the integration of AI and machine learning in cardiac surgery and the potential for reducing medical errors and improving patient outcomes. He emphasizes the importance of cross-pollination and continuous improvement in the field of medicine. Dr. Khalpey shares his vision for an AI-driven healthcare ecosystem and highlights the need for collaboration between clinicians and data scientists. He also discusses the practical applications of AI in surgery, such as improving communication and decision-making within the surgical team. In this part of the conversation, Dr. Zain Khalpey discusses the use of AI in heart surgery and the development of the Kai AI algorithm. He also talks about the importance of wearables and heart rate variability in monitoring and predicting health conditions. Dr. Khalpey addresses concerns about insurance companies using data for predictive analysis and denying coverage based on genetic predispositions. He emphasizes the need for responsible and ethical use of AI in healthcare and the importance of transparency and governance. AI and machine learning have the potential to reduce medical errors and improve patient outcomes in cardiac surgery.Cross-pollination and continuous improvement are essential in the field of medicine.Collaboration between clinicians and data scientists is crucial for the successful integration of AI in healthcare.Practical applications of AI in surgery include improving communication and decision-making within the surgical team. AI is being used in heart surgery to improve decision-making and patient outcomes.Wearables, such as the Ura Ring, have the potential to provide valuable health data, but their accuracy and trustworthiness need to be validated.Insurance companies may use AI and genetic data to deny coverage, highlighting the need for regulations and provisions to protect individuals.The responsible and ethical use of AI in healthcare is crucial, and transparency and governance are essential for building trust.Collaboration and communication between different stakeholders, including clinicians, data scientists, and patients, are necessary for successful AI implementation in healthcare. Dr. Khalpey's humility and dedication to his patients are inspiringTechnology can be used for good to improve people's livesPrioritizing work-life balance is essential for personal well-being

    38 min
  4. Special Episode: Data as a Product - Panel Discussion

    29 APR

    Special Episode: Data as a Product - Panel Discussion

    This episode delves into the pivotal role of "Data as a Product in the Age of AI," the importance of cross functional silo-busting and invaluable food for thought with a power-packed panel including : Randy Bean, the Godfather of CDAOs, a global authority on data analytics and author of “Fail Fast, Learn Faster: Lessons in Data-Driven Leadership in an Age of Disruption, Big Data, and AI”Michelle Finneran Dennedy, the OG Chief Privacy Officer at McAfee, Intel and Cisco, author of “The Privacy Engineer's Manifesto” now leading the charge at PrivacyCodeYassir Abousselham, whose CISO expertise spans Google, Okta, Splunk, UiPath and now advisors global CISOs worldwide in his latest venture, Silicon Valley CyberHosted by Carrie Mott, MD of Flywheel Marketing and SaaS Marketing Expert Key topics include: Crafting smart data governance and privacy frameworks to fuel AI innovation while keeping data management robust.Embracing the AI Upskill movement, as a staggering 61% of workers are now wielding AI in their daily tasks, yet a mere 46% of top companies have established a solid data culture.Unpacking the strategic rise of CAIOs within data-centric organizations and their role in steering organisations through both the risks and opportunities of an AI Era.The responsibility and proficiency of Board and C-Suite members in providing oversight to data pipelines and the AI lifecycle within their businesses.The role of data hygiene, centralization, and provenance in enhancing collaborative data quality and management, especially given that only 37% of quality improvement initiatives are successful.What’s keeping CISOs up at night? Including data and model poisoning and AI-enhanced cyber threats.How do we mitigate the impact of AI-generated misinformation and deepfakes as the world braces for a year of elections involving nearly half its population?And crucially, how to foster cross-departmental synergy to harness the competitive edge AI offers. This panel isn't just a conversation—it's a strategic playbook for cross functional leaders to leverage data effectively in the dawn of AI, ensuring readiness for the monumental shifts ahead. Engage with these thought leaders as they chart a course for thriving in a world where data isn't just an asset; it's the currency of innovation.

    1h 10m
  5. Humane vs Mundane: Balancing AI and Human Creativity - Anders Sorman-Nilsson

    17 APR

    Humane vs Mundane: Balancing AI and Human Creativity - Anders Sorman-Nilsson

    Anders and Dave explore the impact of AI on various industries and the future of work. We discusse the potential for AI to significantly increase productivity and questions the need for more humans in organizations. The conversation also delves into the disruption of mundane tasks and the role of AI in fields like accounting and law. It explores the balance between AI and human creativity, emphasizing the value of human input and the potential for AI to enhance human creativity. The conversation concludes with a discussion on the challenges and opportunities of AI, including ethical considerations and the future of humanity. Takeaways AI has the potential to significantly increase productivity, with some estimates suggesting a 4X to 10X increase in knowledge workers' productivity.The rise of AI raises questions about the need for more humans in organizations if every human becomes 10X as productive.AI is disrupting mundane tasks in fields like accounting and law, potentially replacing the need for human involvement in these areas.While AI can generate content and artwork, there is still value in human creativity and the unique perspectives and emotions it brings.The future of AI raises ethical considerations and the need for responsible development and implementation to ensure the well-being of humanity. Sound Bites "Do we really need more humans in our organization if every human is 10X as productive every day?""Take the robot out of the human so that humans can do more meaningful work.""AI will kill the mediocre."

    37 min
  6. A Nerd in the ER; Can AI solve the big Humanity problems feat Nick King - Data Kinetic

    7 APR

    A Nerd in the ER; Can AI solve the big Humanity problems feat Nick King - Data Kinetic

    Summary In this episode, the hosts are joined by Nick King, the founder of Data Kinetic, to discuss the role of AI in healthcare. Nick shares his experience of observing open heart surgery and highlights the complexity of the surgical process. They explore the importance of data in healthcare and the challenges of managing medical records. The conversation also touches on the privacy of healthcare data and the need for responsible AI models. They discuss the potential of AI to improve healthcare outcomes and reduce costs. The episode concludes with a focus on the growing interest in personal health and wellness. In this conversation, Nick King discusses the potential of AI in healthcare, personalized medicine, and climate transformation. The discussion touches on the challenges of food and health, the need for personalized healthcare, and the ethical concerns surrounding genetic testing and insurance coverage. Nick also explains Data Kinetic's approach to AI, which involves building specialized agents and models to address complex problems. The conversation concludes with a reflection on the impact of AI on our lives and the importance of conscious understanding and control. Takeaways Observing open heart surgery provides insights into the complexity of the surgical process and the importance of data in healthcare.The privacy of healthcare data is crucial, and individuals should have the right to choose what happens with their data.AI has the potential to improve healthcare outcomes by analyzing data and predicting health risks.The business model for AI in healthcare involves solving specific problems and collaborating with healthcare providers.There is a growing interest in personal health and wellness, with individuals taking more responsibility for their own health. The biggest challenge in maintaining health and losing weight is food and nutrition.AI has the potential to personalize healthcare and predict future health conditions based on genetic makeup.Ethical concerns arise regarding the use of AI in insurance coverage and the potential for discrimination based on genetic information.Data Kinetic's approach to AI involves building specialized agents and models to address complex problems in healthcare, energy, and climate transformation. Sound Bites Chapters 00:00 Introduction and Background 01:02 Personal Updates 01:22 Observing Open Heart Surgery 04:04 The Role of Data in Healthcare 06:21 Assessing Data Points for Predictive Analysis 07:43 The Complexity of Medical Records 08:01 The Importance of Data Privacy 10:49 The Role of AI in Healthcare 12:05 The Vision for AI in Medicine 13:36 The Business Model for AI in Healthcare 20:37 Innovation and Adoption of AI in Healthcare 25:53 Improving Healthcare Accessibility and Affordability 28:15 The Cost of Healthcare and Personal Responsibility 31:15 Growing Interest in Personal Health and Wellness 31:32 The Challenge of Food and Health 32:55 Personalized Healthcare and Genetic Testing 35:19 Ethical Concerns and Insurance Coverage 38:23 Data Kinetic's Approach to AI 43:30 Applying AI in Healthcare, Energy, and Climate Transformation 53:10 The Impact of AI on Our Lives

    59 min

About

A podcast about the exponential growth of software, technology and AI and the impact it has on humanity with Dave Anderson. Is technology good or bad? Is it helping us or making us worse? What do we need to do to make our society, our parenting, are children aware of it's opportunity and it's shortcomings? They’re the questions some of the smartest people on earth are asking. And the truth is, nobody really knows for sure. A journey of curiosity, discovery, and occasional terror, as we search for answers with scientists, authors, TED talkers, and the brightest minds in tech. Hosted by Aussie tech evangelist Dave Anderson, we’ll dive deep into the myths, realities, and possibilities. Answer your deepest, darkest questions. Blow your mind with surprising and incredible discoveries. And unpack one of the most important, most controversial, most terrifying, and least-understood technologies.

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