Tag: Policy

  • AI Governance: Applying AI Policy and Ethics through Principles and Assessments

    AI Governance: Applying AI Policy and Ethics through Principles and Assessments


    Price: $0.00
    (as of Dec 24,2024 10:30:14 UTC – Details)



    In the rapidly evolving field of artificial intelligence (AI), it is crucial to establish governance frameworks that ensure the responsible and ethical development and deployment of AI technologies. AI governance involves the implementation of policies, principles, and assessments to guide the design, development, and use of AI systems.

    One key aspect of AI governance is the establishment of AI policy and ethics principles. These principles serve as a foundation for ethical AI development and help organizations navigate complex ethical dilemmas that may arise in the deployment of AI technologies. Some common AI policy and ethics principles include transparency, accountability, fairness, and privacy.

    Transparency in AI systems involves ensuring that the decision-making processes and algorithms used in AI systems are clear and understandable. Accountability refers to holding individuals and organizations responsible for the outcomes of AI systems. Fairness entails ensuring that AI systems do not exhibit bias or discrimination against certain groups. Privacy involves protecting the personal data and information of individuals used in AI systems.

    In addition to establishing AI policy and ethics principles, organizations should also conduct regular assessments of their AI systems to ensure compliance with these principles. AI assessments involve evaluating the impact of AI technologies on various stakeholders, identifying potential risks and ethical concerns, and implementing measures to mitigate these risks.

    By applying AI policy and ethics principles through principles and assessments, organizations can promote responsible and ethical AI development and deployment. This not only helps build trust in AI technologies but also ensures that AI systems are designed and used in a way that benefits society as a whole.
    #Governance #Applying #Policy #Ethics #Principles #Assessments

  • Convergence: Artificial Intelligence and Quantum Computing: Social, Economic, and Policy Impacts

    Convergence: Artificial Intelligence and Quantum Computing: Social, Economic, and Policy Impacts


    Price: $32.00
    (as of Dec 24,2024 02:02:06 UTC – Details)


    From the Publisher

    Convergence book title treatment

    Convergence book title treatment

    WHEN SCIENCE FICTION SUDDENLY BECOMES REALITY

    …the world watches with astonished fascination, delight, and sometimes dismay. We live in an accelerated time, and the rate of acceleration is increasing. As we rapidly move forward, it is difficult to see over the horizon. Yet, it is wise to make preparations for what lies ahead. A paradox? Perhaps. The essential question is, how can one adequately prepare for the unknown?

    Another technological watershed is now coming into place: artificial intelligence converging with quantum computing. The convergence of these two technologies may have the same civilization-altering effects as the telegraph, but the changes resulting from their combined functionality are likely to be much more profound, perhaps as fundamental and far-reaching as the discovery of fire.

    The essays in this anthology are organized into three sections and examine the potential global impacts on political/policy/regulatory environments, economic activity, and social fabric. These impacts are complex in nature, and while there may be some degree of overlap between sections and across individual essays, the positions presented by the authors are intended to provoke thought and consider possible consequences.

    Quantum computing image

    Quantum computing image

    PART I: POLICY AND REGULATORY IMPACTS

    Chapter 1: Quantum Inflection Points by Jim Gable

    Chapter 2: Quantum Delegation by Mandy Sweeney and Chris Gauthier

    Chapter 3: The Problem of Machine Actorhood by Patrick Thaddeus Jackson

    Chapter 4: Data Privacy, Security, and Ethical Governance Under Quantum AI by Sarah Pearce

    Chapter 5: The Challenge of Quantum Noise by Philip Johnson

    Chapter 6: A New Kind of Knowledge Discovery by Ramin Ayanzadeh and Milton Halem

    Quantum computing image

    Quantum computing image

    PART II: ECONOMIC IMPACTS

    Chapter 7: Quantum Tuesday: How the U.S. Economy Will Fall, and How to Stop It by Alexander W. Butler

    Chapter 8: Quantum-AI Space Communications by Mason Peck

    Chapter 9: Quantum Planet Hacking by Philip L. Frana

    Chapter 10: Ethics and Quantum AI for Future Public Transit Systems by Benjamin Crawford

    Chapter 11: The Road to a Better Future by Denise Ruffner and André M. König

    Quantum computing image

    Quantum computing image

    PART III: SOCIAL IMPACTS

    Chapter 12: The Best Numbers Are in Sight. But Understanding? by Roald Hoffmann and Jean-Paul Malrieu

    Chapter 13: The Advancement of Intelligence or the End of It? by Kate Jeffery

    Chapter 14: Quantum of Wisdom by Colin Allen and Brett Karlan

    Chapter 15: Human Imagination and HAL by Erik Viirre

    Chapter 16: A Critical Crossroad by Joseph N. Pelton

    Chapter 17: Empathetic AI and Personalization Algorithms

    Chapter 18: Should We Let the Machine Decide What Is Meaningful? by J.M. Taylor

    Chapter 19: The Ascent of Quantum Intelligence in Steiner’s Age of the Consciousness Soul by Stephen R. Waite

    Chapter 20: Quantum Computing’s Beautiful Accidents by Christopher Savoie

    Publisher ‏ : ‎ Wiley; 1st edition (January 5, 2023)
    Language ‏ : ‎ English
    Hardcover ‏ : ‎ 320 pages
    ISBN-10 ‏ : ‎ 1394174101
    ISBN-13 ‏ : ‎ 978-1394174102
    Item Weight ‏ : ‎ 2.31 pounds
    Dimensions ‏ : ‎ 6.2 x 1.3 x 9.1 inches


    The intersection of artificial intelligence (AI) and quantum computing is a rapidly evolving field with far-reaching implications for society, the economy, and government policy. As these two technologies continue to advance, their convergence has the potential to revolutionize industries, transform the way we live and work, and reshape our understanding of the world.

    From healthcare and finance to transportation and communication, AI and quantum computing are poised to drive innovation and efficiency across a wide range of sectors. AI algorithms can leverage quantum computing’s ability to process vast amounts of data and perform complex calculations at speeds that were previously unimaginable, leading to breakthroughs in areas such as drug discovery, financial modeling, and climate prediction.

    However, the convergence of AI and quantum computing also raises important questions about ethics, privacy, and security. As AI systems become more powerful and autonomous, concerns about bias, accountability, and transparency become more pressing. Quantum computing’s potential to break encryption systems and disrupt cybersecurity poses new challenges for protecting sensitive information and ensuring data integrity.

    In light of these developments, policymakers and regulators must grapple with how to harness the benefits of AI and quantum computing while mitigating their risks. It will be crucial to establish guidelines for the responsible development and deployment of these technologies, ensuring that they are used in ways that benefit society and uphold ethical standards.

    Ultimately, the convergence of AI and quantum computing has the potential to reshape our world in profound ways. By understanding the social, economic, and policy impacts of these technologies, we can work towards harnessing their full potential while safeguarding against potential risks.
    #Convergence #Artificial #Intelligence #Quantum #Computing #Social #Economic #Policy #Impacts

  • Environmental Policy and Corporate Behaviour by Nick Johnstone (English) Hardcov

    Environmental Policy and Corporate Behaviour by Nick Johnstone (English) Hardcov



    Environmental Policy and Corporate Behaviour by Nick Johnstone (English) Hardcov

    Price : 196.49

    Ends on : N/A

    View on eBay
    er

    In this insightful book, Environmental Policy and Corporate Behaviour, author Nick Johnstone examines the complex relationship between environmental policy and corporate behavior. Drawing on extensive research and case studies, Johnstone explores the ways in which companies are influenced by environmental regulations and how they in turn can shape policy outcomes.

    Johnstone argues that companies play a crucial role in shaping environmental policy through their actions and investments. By adopting sustainable practices and technologies, businesses can not only reduce their environmental impact but also influence policymakers to enact more stringent regulations. Conversely, companies that prioritize short-term profits over environmental concerns can undermine efforts to address pressing environmental issues.

    Through a comprehensive analysis of the interactions between businesses and policymakers, Environmental Policy and Corporate Behaviour offers valuable insights for policymakers, business leaders, and environmental advocates alike. Johnstone’s rigorous analysis and clear writing make this book a must-read for anyone interested in the intersection of environmental policy and corporate behavior.

    Whether you are a seasoned environmental policy expert or a newcomer to the field, Environmental Policy and Corporate Behaviour will deepen your understanding of the complex dynamics at play in our efforts to protect the planet for future generations.
    #Environmental #Policy #Corporate #Behaviour #Nick #Johnstone #English #Hardcov, Data Center Sustainability

  • A Research Agenda for Cybersecurity Law and Policy (Elgar Research Agendas)

    A Research Agenda for Cybersecurity Law and Policy (Elgar Research Agendas)


    Price: $140.00
    (as of Dec 23,2024 18:56:41 UTC – Details)




    Publisher ‏ : ‎ Edward Elgar Publishing (January 10, 2025)
    Language ‏ : ‎ English
    Hardcover ‏ : ‎ 240 pages
    ISBN-10 ‏ : ‎ 1803929189
    ISBN-13 ‏ : ‎ 978-1803929187
    Item Weight ‏ : ‎ 1.74 pounds


    In the ever-evolving landscape of cybersecurity, it is essential to have a clear research agenda to guide the development of effective laws and policies. The recently published book “A Research Agenda for Cybersecurity Law and Policy” by Elgar Research Agendas offers a comprehensive look at the key issues that need to be addressed in this field.

    Some of the topics covered in the book include the role of governments in cybersecurity, the impact of emerging technologies on cybersecurity, the legal and ethical implications of cybersecurity incidents, and the challenges of international cooperation in combating cyber threats.

    This research agenda provides a roadmap for policymakers, researchers, and practitioners to navigate the complex and rapidly changing world of cybersecurity. By addressing these key issues, we can work towards creating a more secure and resilient digital environment for all.
    #Research #Agenda #Cybersecurity #Law #Policy #Elgar #Research #Agendas, Cybersecurity

  • Disaster Recovery Policy: Guide and Template (BCM SME series)

    Disaster Recovery Policy: Guide and Template (BCM SME series)


    Price: $15.50
    (as of Dec 23,2024 18:04:49 UTC – Details)




    ASIN ‏ : ‎ B0DHZPL9T7
    Publisher ‏ : ‎ Independently published (September 25, 2024)
    Language ‏ : ‎ English
    Paperback ‏ : ‎ 56 pages
    ISBN-13 ‏ : ‎ 979-8338600078
    Item Weight ‏ : ‎ 4.8 ounces
    Dimensions ‏ : ‎ 6 x 0.13 x 9 inches


    In today’s digital age, businesses rely heavily on technology to operate efficiently and effectively. However, with this reliance comes the risk of potential disasters that can disrupt operations and jeopardize the business’s ability to function. That’s why having a comprehensive disaster recovery policy in place is crucial for any organization.

    In our latest BCM SME series, we delve into the importance of disaster recovery planning and provide a detailed guide and template to help businesses create a robust policy. From identifying potential risks and vulnerabilities to outlining recovery procedures and communication plans, this guide covers all aspects of disaster recovery planning.

    Don’t wait until disaster strikes to start planning for the unexpected. Check out our Disaster Recovery Policy Guide and Template today to ensure your business is prepared for any eventuality. Stay tuned for more tips and insights from our BCM SME series!
    #Disaster #Recovery #Policy #Guide #Template #BCM #SME #series, Business Continuity

  • Generative Ai in Writing Education : Policy and Pedagogical Implications, Har…



    Generative Ai in Writing Education : Policy and Pedagogical Implications, Har…

    Price : 76.84

    Ends on : N/A

    View on eBay
    Generative Ai in Writing Education: Policy and Pedagogical Implications

    As technology continues to advance, the use of generative artificial intelligence (AI) in writing education has become increasingly prevalent. From automated essay scoring to chatbots that provide feedback on student writing, these tools have the potential to revolutionize the way writing is taught and assessed in the classroom. However, the integration of generative AI in writing education also raises important policy and pedagogical implications that must be carefully considered.

    On the policy front, there are questions about data privacy and security when using AI-powered writing tools in the classroom. Educators and policymakers must ensure that students’ personal information is protected and that the algorithms used to assess writing are fair and unbiased. Additionally, there may be concerns about the potential for AI to replace human teachers, leading to job displacement and a loss of human connection in the classroom.

    From a pedagogical standpoint, there are also important considerations to take into account when using generative AI in writing education. While these tools can provide valuable feedback and support to students, they may also stifle creativity and critical thinking if over-relied upon. Educators must strike a balance between using AI as a helpful tool and encouraging students to develop their own writing skills and voice.

    Overall, the integration of generative AI in writing education has the potential to enhance student learning and improve writing outcomes. However, it is crucial for educators and policymakers to carefully consider the policy and pedagogical implications of using these tools in the classroom to ensure that they are used ethically and effectively. By doing so, we can harness the power of AI to support student writing while still nurturing their unique abilities and talents.
    #Generative #Writing #Education #Policy #Pedagogical #Implications #Har..

  • Generative AI in Writing Education: Policy and Pedagogical Implications by Dylan

    Generative AI in Writing Education: Policy and Pedagogical Implications by Dylan



    Generative AI in Writing Education: Policy and Pedagogical Implications by Dylan

    Price : 82.06

    Ends on : N/A

    View on eBay
    Generative AI in Writing Education: Policy and Pedagogical Implications

    As the field of artificial intelligence continues to advance, generative AI tools are increasingly being used in various educational settings, including writing education. These tools have the potential to revolutionize the way writing is taught and assessed, but they also raise important questions about policy and pedagogy.

    In terms of policy, educators and policymakers must consider issues such as data privacy, intellectual property rights, and equity. When students use generative AI tools to assist them in writing, their data may be collected and stored by the tool provider. Educators must ensure that students’ privacy is protected and that their personal information is not being misused.

    Furthermore, there are questions about who owns the rights to the writing produced by generative AI tools. If a student uses a tool to generate a piece of writing, who has the right to claim authorship? This issue becomes even more complex when considering the role of teachers and educators in guiding students’ use of these tools.

    In terms of pedagogy, educators must consider how to effectively integrate generative AI tools into writing instruction. While these tools can help students generate ideas, organize their thoughts, and improve their writing mechanics, they should not replace traditional writing instruction. Teachers must strike a balance between using these tools as a supplement to instruction and ensuring that students develop their own writing skills.

    Additionally, educators must consider how generative AI tools may impact students’ creativity and critical thinking skills. If students rely too heavily on these tools to generate ideas and content, they may struggle to develop their own unique voice and perspective. Teachers must provide guidance and support to help students use these tools effectively while still fostering their own creativity and critical thinking abilities.

    In conclusion, generative AI tools have the potential to significantly impact writing education, but educators must carefully consider the policy and pedagogical implications of their use. By addressing issues such as data privacy, intellectual property rights, and the impact on students’ creativity, educators can harness the power of generative AI tools to enhance writing instruction and empower students to become more effective writers.
    #Generative #Writing #Education #Policy #Pedagogical #Implications #Dylan

  • The Policy Driven Data Center with Aci: Architecture, Concepts, and Methodology

    The Policy Driven Data Center with Aci: Architecture, Concepts, and Methodology



    The Policy Driven Data Center with Aci: Architecture, Concepts, and Methodology

    Price : 4.87

    Ends on : N/A

    View on eBay
    In today’s fast-paced and data-driven world, organizations are constantly looking for ways to streamline their operations and improve efficiency. One way to achieve this is through the implementation of a policy-driven data center using Application Centric Infrastructure (ACI).

    ACI is a holistic approach to data center management that focuses on policy-based automation, allowing organizations to define and enforce their business and security policies across the entire infrastructure. By abstracting the network and application layers, ACI enables organizations to automate provisioning, simplifying operations, and reducing the risk of human error.

    The architecture of a policy-driven data center with ACI is based on a few key concepts, including application profiles, endpoint groups, and policy enforcement. Application profiles define the requirements and characteristics of an application, while endpoint groups represent the various components of the application, such as servers, storage, and networking devices. Policies are then applied to these endpoint groups to enforce security, quality of service, and other requirements.

    The methodology for implementing a policy-driven data center with ACI involves several steps, including defining business and security policies, creating application profiles, configuring endpoint groups, and applying policies to enforce the desired behaviors. By automating these processes, organizations can reduce complexity, improve agility, and ensure consistency across their data center environments.

    Overall, the policy-driven data center with ACI offers a flexible and scalable solution for organizations looking to modernize their data center infrastructure. By leveraging automation and policy-based management, organizations can achieve greater efficiency, agility, and security in their data center operations.
    #Policy #Driven #Data #Center #Aci #Architecture #Concepts #Methodology

  • Deep Reinforcement Learning Hands-On: Apply modern RL methods, with deep Q-networks, value iteration, policy gradients, TRPO, AlphaGo Zero and more

    Deep Reinforcement Learning Hands-On: Apply modern RL methods, with deep Q-networks, value iteration, policy gradients, TRPO, AlphaGo Zero and more


    Price: $48.99 – $46.57
    (as of Dec 17,2024 16:27:35 UTC – Details)


    From the brand

    Packt's Brand Story

    Packt's Brand Story

    Packt Logo

    Packt Logo

    Packt is a leading publisher of technical learning content with the ability to publish books on emerging tech faster than any other.

    Our mission is to increase the shared value of deep tech knowledge by helping tech pros put software to work.

    We help the most interesting minds and ground-breaking creators on the planet distill and share the working knowledge of their peers.

    New Releases

    LLMs and Generative AI

    Machine Learning

    See Our Full Range

    Publisher ‏ : ‎ Packt Publishing (June 20, 2018)
    Language ‏ : ‎ English
    Paperback ‏ : ‎ 546 pages
    ISBN-10 ‏ : ‎ 1788834240
    ISBN-13 ‏ : ‎ 978-1788834247
    Item Weight ‏ : ‎ 2.07 pounds
    Dimensions ‏ : ‎ 9.25 x 7.52 x 1.13 inches


    Deep Reinforcement Learning Hands-On: Apply modern RL methods, with deep Q-networks, value iteration, policy gradients, TRPO, AlphaGo Zero and more

    Are you interested in diving deep into the world of reinforcement learning and exploring cutting-edge methods like deep Q-networks, value iteration, policy gradients, TRPO, AlphaGo Zero, and more? Look no further, as we have curated a hands-on guide to help you apply these modern RL techniques in practice.

    In this post, we will walk you through the essential concepts and algorithms behind deep reinforcement learning, and provide step-by-step tutorials on how to implement them in popular frameworks like TensorFlow, PyTorch, and OpenAI Gym. Whether you are a beginner looking to get started with RL or an experienced practitioner seeking to expand your knowledge, this guide has something for everyone.

    From building your first deep Q-network to training a policy gradient agent to play Atari games, we will cover a wide range of topics to help you master the art of reinforcement learning. So grab your laptop, download the code samples, and let’s dive into the exciting world of deep reinforcement learning together. Happy coding!
    #Deep #Reinforcement #Learning #HandsOn #Apply #modern #methods #deep #Qnetworks #iteration #policy #gradients #TRPO #AlphaGo

  • Sustaining the States: The Fiscal Viability of American State Governments (ASPA Series in Public Administration and Public Policy)

    Sustaining the States: The Fiscal Viability of American State Governments (ASPA Series in Public Administration and Public Policy)


    Price: $84.99 – $66.49
    (as of Dec 17,2024 16:12:11 UTC – Details)



    In today’s world of political and economic uncertainty, the fiscal viability of American state governments is more important than ever. The American Society for Public Administration (ASPA) has released a new series in public administration and public policy titled “Sustaining the States: The Fiscal Viability of American State Governments” to address this critical issue.

    This series brings together leading experts in the field to explore the challenges facing state governments in maintaining their financial health and stability. From pension reform to budgetary constraints, from revenue generation to expenditure control, the series covers a wide range of topics essential to understanding the complex financial landscape of state governments.

    Readers will gain valuable insights into the factors influencing state government fiscal sustainability, as well as innovative strategies for addressing financial challenges. Whether you are a researcher, policymaker, or public administration professional, this series will provide you with the knowledge and tools needed to ensure the long-term fiscal viability of American state governments.

    Stay tuned for upcoming volumes in the ASPA Series in Public Administration and Public Policy, and join the conversation on sustaining the states.
    #Sustaining #States #Fiscal #Viability #American #State #Governments #ASPA #Series #Public #Administration #Public #Policy