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An accessible guide to understanding what qualifies as sexual harassment and how to combat it, using the simple rules children learn on the playground. One of today’s most hotly discussed topics is sexual harassment in the workplace: what it looks like, how to prevent it, and what to do about it. So many people don’t realize that they have been victims of sexual harassment or that they have a right to speak up and demand different treatment. Many don’t realize that they are committing it, thanks certain behaviors being dismissed, forgiven, or ignored for many years when they should have been corrected long ago. In the heat of today’s #MeToo movement, Brigitte Gawenda Kimichik, JD, and J.R Tomlinson take things back to basics by applying the rules we all learned on the playground to the modern-day workplace, thus making clear to everyone what is and what isn’t OK. Play Nice: Playground Rules for Respect in the Workplace is an indispensable resource—both for empowering those who wish to reassert their boundaries and for teaching allies how to help in this fight. Praise for Play Nice “Chock full of smart, strategic advice to help anyone suffering from toxic behavior in the workplace. When you finish this book, you will realize that equal rights for women is not some far-off ideal but a reality that that soon can be achieved.” —Skip Hollandsworth, Executive Editor, Texas Monthly “For real change to occur, it is imperative that we all start holding ourselves responsible for ensuring everyone is treated respectfully. Play Nice is a giant step in the right direction. This book should be mandatory reading for all organizations and parents.” —Vanessa Fox Corp. VP, Chief Development Officer, Jack in the Box “This is a must-read for any human resources executive, any woman embarking on her professional career, and any bystander (male or female) who is not sure what to do when faced with bad behavior.” —Joel L. Ross, former General Counsel of Trammell Crow Company and retired partner of Vinson & Elkins LLP
Strengthening financial sector regulatory arrangements has been a major focus of the G-20 since the crisis in 2008, and progress in strengthening financial regulations is often cited as its success. Nonetheless, the overall contribution of the G20 as a political forum for the oversight of international financial regulation is diming as FinTech is blurring the boundaries between intermediaries and markets, as well as between digital service providers moving into the financial space, nonbank financial companies, and banks. Along the same line, financial technology is causing paradigm changes to the traditional financial system, presenting both challenges and opportunities. As FinTech grows rapidly, the importance of regulation and supervision becomes more prominent. The three cornerstones of banking: taking deposits, making loans, and facilitating payments are being reassembled functionally and digitally outside of the bank regulatory perimeter by certain firms. Without comprehensive consolidated supervision, no single regulator can see the whole picture and understand how a firm as a whole operates and takes risk. No crypto firm to date is subject to comprehensive consolidated supervision, creating gaps in supervision alongside risks. Countries around the world are taking divergent views on cryptocurrency and other so-called “Web3” technologies based on blockchain. This book aims to provide a comparison between the various available approaches, models, or legislations by identifying certain key legislative policies within the G-20 as they cope with innovative financial technologies, and will be of interest to scholars, students, and practitioners of banking, financial regulation, risk management, and financial technology.
When you were playing outside, your parents probably told you to "play nice". This sentence was a warning full of implied rules: share with others, protect the little ones, don't be aggressive, don't hurt anyone, make yourself respected but don't be selfish. Why is this wise rule not the dominant rule at the professional level? Discover how we have collectively forgotten that competition and cooperation must coexist to have a balanced life. Even among competitors, the future of work will lead organizations as well as individuals to understand that it will be more and more necessary to cooperate. Through concrete examples from the animal world, business, and sports, you will learn that "coopetition" is an attitude shared by successful people. This book is a journey from Roman antiquity to the present day that will make you want to join those who play nice.
"Elite New York City divorce attorney Jacqueline Newman is here to help, sharing her secrets from over two decades in the trenches. THE NEW RULES OF DIVORCE: 12 Secrets to Protecting Your Wealth, Health, and Happiness is the first definitive guide for navigating modern divorce, full of advice to help readers: decide whether they are actually ready to get a divorce protect and secure their finances post-breakup find the right lawyer (or mediator) for their situation win the child custody schedule they want heal and stay sane through a disorienting time"--
Financial technology is rapidly changing and shaping financial services and markets. These changes are considered making the future of finance a digital one.This Handbook analyses developments in the financial services, products and markets that are being reshaped by technologically driven changes with a view to their policy, regulatory, supervisory and other legal implications. The Handbook aims to illustrate the crucial role the law has to play in tackling the revolutionary developments in the financial sector by offering a framework of legally enforceable principles and values in which such innovations might take place without threatening the acquis of financial markets law and more generally the rule of law and basic human rights. With contributions from international leading experts, topics will include: Policy, High-level Principles, Trends and Perspectives Fintech and Lending Fintech and Payment Services Fintech, Investment and Insurance Services Fintech, Financial Inclusion and Sustainable Finance Cryptocurrencies and Cryptoassets Markets and Trading Regtech and Suptech This Handbook will be of great relevance for practitioners and students alike, and a first reference point for academics researching in the fields of banking and financial markets law.
Craft ethical AI projects with privacy, fairness, and risk assessment features for scalable and distributed systems while maintaining explainability and sustainability Purchase of the print or Kindle book includes a free PDF eBook Key Features Learn risk assessment for machine learning frameworks in a global landscape Discover patterns for next-generation AI ecosystems for successful product design Make explainable predictions for privacy and fairness-enabled ML training Book Description AI algorithms are ubiquitous and used for tasks, from recruiting to deciding who will get a loan. With such widespread use of AI in the decision-making process, it's necessary to build an explainable, responsible, transparent, and trustworthy AI-enabled system. With Platform and Model Design for Responsible AI, you'll be able to make existing black box models transparent. You'll be able to identify and eliminate bias in your models, deal with uncertainty arising from both data and model limitations, and provide a responsible AI solution. You'll start by designing ethical models for traditional and deep learning ML models, as well as deploying them in a sustainable production setup. After that, you'll learn how to set up data pipelines, validate datasets, and set up component microservices in a secure and private way in any cloud-agnostic framework. You'll then build a fair and private ML model with proper constraints, tune the hyperparameters, and evaluate the model metrics. By the end of this book, you'll know the best practices to comply with data privacy and ethics laws, in addition to the techniques needed for data anonymization. You'll be able to develop models with explainability, store them in feature stores, and handle uncertainty in model predictions. What you will learn Understand the threats and risks involved in ML models Discover varying levels of risk mitigation strategies and risk tiering tools Apply traditional and deep learning optimization techniques efficiently Build auditable and interpretable ML models and feature stores Understand the concept of uncertainty and explore model explainability tools Develop models for different clouds including AWS, Azure, and GCP Explore ML orchestration tools such as Kubeflow and Vertex AI Incorporate privacy and fairness in ML models from design to deployment Who this book is for This book is for experienced machine learning professionals looking to understand the risks and leakages of ML models and frameworks, and learn to develop and use reusable components to reduce effort and cost in setting up and maintaining the AI ecosystem.