Τεχνητή Νοημοσύνη - Περισσότερο Τεχνητή και Λιγότερο Νοήμων
Διερεύνηση της ηθικής διάστασης της τεχνητής νοημοσύνης και του ρόλου μας ως "γονείς" στην ανάπτυξή της, με έμφαση στις ανθρώπινες αξίες και την υπεύθυνη καθοδήγησή της.
Artificial Intelligence: Who Will Teach Ethics to Machines?
Esplora la sfida di insegnare l'etica all'intelligenza artificiale, proponendo un'algor-etica per garantire che le macchine servano l'umanità mentre la tecnologia avanza rapidamente.
Unified Data and AI Governance with Unity Catalog
Explore the challenges of fragmented governance in multi-vendor data and AI landscapes and discover how Unity Catalog can revolutionize your organization's governance strategy. Learn about the complexities and inefficiencies arising from tool sprawl in c…
Optimized AI Workloads on Anyscale with RayTurbo
Discover how Ray optimizes AI workloads across diverse computing environments in this 40-minute conference talk. Explore Ray's evolution from a 2016 research project to a widely adopted framework used by leading AI organizations. Learn about Anyscale's A…
Innovating in Financial Services - Safely Harnessing Data and AI
Discover a unified controls framework for financial services to accelerate innovation while ensuring safe AI and data usage in hybrid multicloud environments.
Taking Aim at Bias in AI - Workshop Sessions
Explore strategies to identify and mitigate bias in AI systems, enhancing fairness and ethical decision-making in machine learning applications.
Defining Open-Source AI: Challenges and Opportunities in the Evolving Landscape
Explore the complexities of defining Open-Source AI, balancing innovation with core open-source principles in the evolving AI landscape. Engage in shaping a definition that reflects technological progress.
Building Trust in AI - Proactive Safeguards for Responsible GenAI Adoption
Explore emerging GenAI threats, build comprehensive AI security programs, and implement safeguards like LLM Firewalls to ensure responsible adoption aligned with industry standards.
Trustworthy AI for MLOps
Explore strategies for implementing trustworthy AI in MLOps, addressing operational challenges, and fostering transparency to turn AI into a business advantage.
Securing AI: Practical Insights and Proactive Measures
Dive into practical strategies for integrating robust AI/ML security measures and fostering a proactive security culture to effectively safeguard AI systems and stay ahead of emerging threats.
Keeping AI on Track: Managing Trade-offs in AI Adoption
Explore the societal and industrial trade-offs of AI adoption, from gene editing to healthcare, in this thought-provoking discussion on managing AI's progress.
Anyscale's Governance Suite for Scalable AI Platforms - Ray Summit 2024
Explore Anyscale's Governance Suite for AI platforms, addressing security, controls, and productivity challenges in the era of Generative AI. Gain insights into sustainable AI practices for modern enterprises.
Open Technical Questions in Generative AI Copyright and Risk Mitigation
Explore critical technical challenges around copyright risks, mitigation strategies, and compensation mechanisms in generative AI models, with focus on quantification and practical solutions.
AI Interactions: Misuse, Markets, and Managers in Complex Systems
Explore the complex dynamics of AI systems through misuse prevention, market interactions, and management strategies for navigating emerging technological challenges and societal impacts.
AI 判官，行不行？ - 探討人工智能在司法系統中的應用與挑戰
AI判官的可能性與挑戰：探討人工智能在 法律領域的應用，以及對人權和司法公正的影響。人類如何在科技進步中保持自主權，塑造未來法律世界。
The Future of Security with AI
Explore Microsoft's approach to AI in security, including Security Copilot and new capabilities for securing and governing AI, with insights from industry experts.
Security and Privacy in AI Production - Panel Discussion
Explore AI security risks, privacy engineering, and ethical implications with industry experts. Gain insights on balancing utility and privacy in the evolving AI landscape.
How to Do Research That Matters
Discover strategies for conducting impactful research in AI safety and cooperation, focusing on multi-agent systems and responsible technology development.
AI One Can Trust
Explore trustworthy AI principles and applications with Dr. Biplav Srivastava, focusing on ethical considerations and practical implementations in various domains.
Responsible AI: Principles and Practices for Ethical Machine Learning
Explore AI's impact on business strategy and innovation with insights from industry expert Kathryn Hume at TMLS2019.
How Blockchain Can Enable Better and More Ethical AI
Explore how blockchain technology can enhance AI development by providing transparency, traceability, and ethical safeguards against misuse like deepfakes and biased training models.