エピソード

  • Who Controls AI? The Global Governance Debate [5]:

    Who Controls AI? The Global Governance Debate [5]:
    2025/12/21
    As AI’s influence grows, governments and organizations are racing to regulate it. In this episode, we navigate the global landscape of AI governance, from the EU AI Act’s risk-based approach to the U.S. NIST AI Risk Management Framework. We’ll also explore the role of international standards in creating a common language for AI trust and security. Through examples like the OECD AI Principles and GDPR’s impact on AI, you’ll understand why the era of self-regulation is ending and why compliance is becoming as critical as innovation.#aiethics #aigovernance #TRISM #AISafety #aitrust #aisecurity #airisks #responsibleai #Cybersecurity #DigitalTransformation #AIEthics #airegulations #aiinclassroom #TechSecurity
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    9 分
  • The Fight for Secure AI: Countering Adversarial Tactics [4]:

    The Fight for Secure AI: Countering Adversarial Tactics [4]:
    2025/12/19
    AI systems are vulnerable in ways traditional software isn’t. In this episode, we enter the cybersecurity battlefield of AI, where adversaries exploit weaknesses in machine learning models. We’ll explore adversarial examples subtle manipulations that trick AI into making mistakes and model poisoning, where training data is corrupted to sabotage performance. We’ll also discuss AI red teaming, the practice of ethically hacking AI to uncover vulnerabilities before malicious actors do. From tricking Tesla’s Autopilot with stickers to the downfall of Microsoft’s Tay chatbot, you’ll see why defending AI requires new strategies that go beyond firewalls and encryption.#aiethics #aigovernance #TRISM #AISafety #aitrust #aisecurity #airisks #responsibleai #Cybersecurity #DigitalTransformation #AIEthics #airegulations #aiinclassroom #TechSecurity
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    12 分
  • Explainable AI: Bridging Trust and Transparency [3]:

    Explainable AI: Bridging Trust and Transparency [3]:
    2025/12/17
    If an AI makes a life-changing decision like approving a loan or diagnosing a disease how can we trust it if we don’t understand why it made that choice? In this episode, we tackle the "black box" problem head-on, exploring the field of Explainable AI (XAI). We’ll break down key techniques like LIME and SHAP, which help demystify complex AI models, and discuss how fairness metrics can audit algorithms for bias. Through examples like Google’s "What If Tool" and DARPA’s XAI program, you’ll discover why transparency and accountability are not just technical challenges they’re the foundation of trustworthy AI.#aiethics #aigovernance #TRISM #AISafety #aitrust #aisecurity #airisks #responsibleai #Cybersecurity #DigitalTransformation #AIEthics #airegulations #aiinclassroom #TechSecurity
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    11 分
  • Mapping the Risks of AI: What You Need to Know [2]:

    Mapping the Risks of AI: What You Need to Know [2]:
    2025/12/15

    AI doesn’t just introduce new risks it redefines what risk means. In this episode, we dive into the unique threat landscape of AI, where dangers go beyond traditional IT vulnerabilities. We’ll explore how data bias can lead to discriminatory outcomes, why the "black box" problem makes AI decisions difficult to trust, and how adversarial attacks can manipulate AI systems in ways that defy conventional cybersecurity defenses. From the COMPAS algorithm’s bias in criminal justice to deepfake scams targeting businesses, you’ll see why AI risk is about more than just code it’s about data, ethics, and the unpredictable ways AI interacts with the real world. By the end, you’ll understand why managing AI risk requires a fundamentally different mindset.


    #aiethics #aigovernance #TRISM #AISafety #aitrust #aisecurity #airisks #responsibleai #Cybersecurity #DigitalTransformation #AIEthics #airegulations #aiinclassroom #TechSecurity

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    12 分
  • Why AI Needs TRiSM: Trust, Risk, and Security in Focus [1]:

    Why AI Needs TRiSM: Trust, Risk, and Security in Focus [1]:
    2025/12/12

    Artificial Intelligence is no longer just a tool it’s a transformative force reshaping industries, economies, and societies. But with great power comes great responsibility. In this opening episode of AI Trust, Risk, and Security Management (TRiSM), we ask: What happens when AI systems fail, discriminate, or are exploited? We’ll introduce the core concepts of AI Trust, Risk, and Security Management, explaining why traditional risk frameworks are inadequate for the unique challenges posed by AI. From bias in hiring algorithms to adversarial attacks on self-driving cars, we’ll explore why a holistic, proactive approach is essential for any organization deploying AI. Through real-world examples like Amazon’s biased AI hiring tool and IBM’s AI Governance Framework, you’ll understand why TRiSM isn’t just a compliance checkbox it’s the operating manual for building, deploying, and managing AI responsibly and safely.


    #aiethics #aigovernance #TRISM #AISafety #aitrust #aisecurity #airisks #responsibleai #Cybersecurity #DigitalTransformation #AIEthics #airegulations #aiinclassroom #TechSecurity
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    10 分
  • AI Trust, Risk, and Security Management TRiSM:

    AI Trust, Risk, and Security Management TRiSM:
    2025/12/11
    As Artificial Intelligence becomes woven into the fabric of our society, how do we ensure it is safe, fair, and secure? This series is a deep dive into AI Trust, Risk, and Security Management (TRiSM), the essential framework for responsible AI. We'll explore the unique risks posed by AI from subtle bias to sophisticated adversarial attacks and uncover the strategies, tools, and regulations being developed to build an AI ecosystem we can all trust.#TRiSM #AITrust #AISecurity #AIGovernance #ResponsibleAI #AIethics #AISafety #AIRisks #TrustworthyAI #ExplainableAI #DataBias #AdversarialAI #EUAIAct #AICompliance #EthicalAI #FederatedLearning #AIAccountability #FairnessInAI
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    2 分
  • The Autonomous Planet: A Vision for the Future [10]:

    The Autonomous Planet: A Vision for the Future [10]:
    2025/11/28
    In our final episode, we zoom out to imagine a world where autonomous systems are fully integrated into society. What does that future look like, and how will it shape our lives? We’ll explore how automation is becoming a powerful tool for sustainability, from climate tech and circular economies to automated vertical farming and space exploration. We’ll also look at the future of manufacturing, where smart factories and Giga factories operate with minimal human intervention, and the societal integration of automation, from autonomous transportation to robotic elder care. But with great power comes great responsibility: We’ll discuss the importance of public dialogue, policy, and ethical frameworks in shaping an automated future that benefits all of humanity. Through examples like Tesla’s Giga factories, NASA’s Mars robots, and automated urban farming, you’ll see that the ultimate promise of automation isn’t just efficiency it’s the potential to create a more sustainable, resilient, and prosperous world. The question is: Are we ready to build it?⁠#AutomationHistory⁠ ⁠#RoboticsEvolution⁠ ⁠#AIinRobotics⁠ ⁠#FutureOfWork⁠ ⁠#SmartFactories⁠ ⁠#CollaborativeRobots⁠ ⁠#IndustrialAutomation⁠ ⁠#SoftRobotics⁠ ⁠#AutonomousSystems⁠ ⁠#AIinAutomation⁠ ⁠#PrecisionAgriculture⁠ ⁠#CloudRobotics⁠ ⁠#EthicalAutomation⁠ ⁠#SwarmRobotics⁠ ⁠#AutomationJourney⁠ ⁠#SenseThinkAct⁠ ⁠#IndustryTransformation⁠ ⁠#BioHybridRobots⁠ ⁠#ConnectedMachines⁠ ⁠#Automation⁠ ⁠#robotics⁠ ⁠#ai⁠
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    42 分
  • The Next Generation: Soft, Swarming, and Bio-Hybrid Robots [9]:

    The Next Generation: Soft, Swarming, and Bio-Hybrid Robots [9]:
    2025/11/27
    What does the future of robotics look like? In this episode, we explore the cutting-edge research and emerging technologies that are pushing the boundaries of what robots can do. We’ll start with soft robotics, where flexible, compliant machines inspired by organisms like octopuses are enabling new applications in healthcare, search and rescue, and food handling. Then, we’ll dive into swarm robotics, where simple, cooperating robots modeled after ant colonies work together to accomplish complex tasks, from environmental monitoring to disaster response. We’ll also explore the frontier of bio-hybrid automation, where robots merge with living tissue to create machines that are part biological, part synthetic. Finally, we’ll look at the quest for true autonomy, where robots operate independently in unpredictable, real-world environments. Through examples like Boston Dynamics’ Atlas robot, soft robotic grippers, and swarms of drones, you’ll see how the next generation of robots is becoming more adaptive, collaborative, and inspired by nature than ever before.#AutomationHistory #RoboticsEvolution #AIinRobotics #FutureOfWork #SmartFactories #CollaborativeRobots #IndustrialAutomation #SoftRobotics #AutonomousSystems #AIinAutomation #PrecisionAgriculture #CloudRobotics #EthicalAutomation #SwarmRobotics #AutomationJourney #SenseThinkAct #IndustryTransformation #BioHybridRobots #ConnectedMachines #Automation #robotics #ai
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    27 分