Empower Your Nonprofit (eBook)
292 Seiten
Wiley (Verlag)
978-1-394-26325-7 (ISBN)
Your complete guide to AI in the nonprofit sector
Empower Your Nonprofit: Simple Ways to Co-Create with AI for Profound Impact is a comprehensive, accessible, and highly practical guide to harnessing the power of emerging AI technologies in the nonprofit sector. This book delivers strategic research, tools, case studies, and advice to help nonprofits advance their missions through AI, with interviews, outlooks, testimonials, and quotes from nonprofit leaders and influencers in the AI industry delivering key insight to all readers regardless of technical expertise.
Readers will learn how to practically resolve the top 10 most common nonprofit pain points through the utilization of AI, backed by current case studies of AI implementation for core nonprofit functions like fundraising, grants, marketing, and initiative event optimization. In this book, readers will find information on:
- The nonprofit sector's critical missions, success factors, challenges, and needs of today
- AI as a way to automate inefficient internal processes, freeing talent to work on more inspired projects
- Tools, tips, and tricks to get started with AI as soon as today
Empower Your Nonprofit: Simple Ways to Co-Create with AI for Profound Impact earns a well-deserved spot on the bookshelves of all nonprofit leaders and involved donors seeking a comprehensive step-by-step guidebook on how this exciting new technology can be leveraged for greater nonprofit success.
A social good and technology fanatic who has been creating positive change for over two decades, AMY NEUMANN is a frequent keynote speaker as well as the founder of The Resourceful Nonprofit, a nonprofit consulting group that offers a number of free resources to nonprofit professionals.
Your complete guide to AI in the nonprofit sector Empower Your Nonprofit: Simple Ways to Co-Create with AI for Profound Impact is a comprehensive, accessible, and highly practical guide to harnessing the power of emerging AI technologies in the nonprofit sector. This book delivers strategic research, tools, case studies, and advice to help nonprofits advance their missions through AI, with interviews, outlooks, testimonials, and quotes from nonprofit leaders and influencers in the AI industry delivering key insight to all readers regardless of technical expertise. Readers will learn how to practically resolve the top 10 most common nonprofit pain points through the utilization of AI, backed by current case studies of AI implementation for core nonprofit functions like fundraising, grants, marketing, and initiative event optimization. In this book, readers will find information on: The nonprofit sector's critical missions, success factors, challenges, and needs of today AI as a way to automate inefficient internal processes, freeing talent to work on more inspired projects Tools, tips, and tricks to get started with AI as soon as today Empower Your Nonprofit: Simple Ways to Co-Create with AI for Profound Impact earns a well-deserved spot on the bookshelves of all nonprofit leaders and involved donors seeking a comprehensive step-by-step guidebook on how this exciting new technology can be leveraged for greater nonprofit success.
CHAPTER 1
A Brief Overview of Artificial Intelligence
Artificial intelligence (AI) has emerged as one of the most potentially world-changing technological events to date. It can potentially revolutionize industries and reshape how we live and work.
As Devin Thorpe, CEO of The Super Crowd and author of Superpowers for Good, aptly puts it, “We have now arrived at the moment when avoiding the use of AI is like avoiding the use of the internet.”
A Brief History of AI
Year | AI event/development | Impact perspective0 |
---|
1940s | Invention of electronic computers | The birth of modern computing, laying the foundation for future AI advancements. |
1950 | Claude Shannon’s “Theseus” mouse | Early example of AI, where a mechanical mouse navigated a maze. |
1956 | Dartmouth Workshop | AI is officially born; the term “Artificial Intelligence” is coined. |
1970s–1980s | Development of expert systems | Programs that mimicked the decision-making abilities of human experts, like early medical diagnosis systems. |
1997 | IBM’s Deep Blue defeats chess champion Garry Kasparov | A computer beats a world chess champion, showcasing AI’s strategic thinking capabilities. |
2000s | Rise of machine learning and neural networks | AI starts to learn from data, leading to more accurate predictions and classifications. |
2001 | Release of the movie A.I. Artificial Intelligence | Hollywood brings AI to the big screen, increasing public interest and awareness. |
2002 | Introduction of Roomba, the autonomous vacuum cleaner | AI enters homes in the form of a smart cleaning device. |
2011 | IBM Watson wins Jeopardy! | AI demonstrates understanding and processing of natural language on a popular quiz show. |
2011 | Launch of Apple’s Siri | AI-powered virtual assistants become mainstream with the introduction of Siri on iPhones. |
2014 | Amazon introduces Alexa | AI-powered voice assistant becomes a household name, controlling smart home devices and answering questions. |
2014 | Google’s DeepMind beats professional Go players | AI shows advanced strategic thinking in the complex game of Go. |
2016 | Release of Pokémon Go, utilizing AR (augmented reality) | AI and AR merge in a popular mobile game, blending the real world with virtual creatures. |
2017 | Google develops the Transformer architecture | Behind-the-scenes breakthrough in AI that leads to improved language understanding and generation. |
2018 | Introduction of deepfake technology | AI creates realistic but fake videos, raising awareness about digital manipulation. |
2018 | Google’s AI-powered Duplex makes a restaurant reservation over the phone | AI achieves a major milestone in natural-sounding conversational abilities. |
2019 | TikTok’s AI-driven recommendation system takes the world by storm | AI curates personalized video feeds, driving the app’s explosive popularity. |
2020 | AI aids in COVID-19 vaccine development | AI accelerates the research and development of vaccines, showcasing its potential in healthcare. |
2021 | Release of AI-generated music and artwork | AI starts to create original music and art, blurring the lines between human and machine creativity. |
2021 | Google announces LaMDA, a conversational AI | AI demonstrates more natural and engaging conversational abilities. |
2022 | Launch of ChatGPT | AI chatbot captivates the public with its ability to generate coherent and contextually relevant text. |
2023 | AI-integrated products like self-driving cars and smart home devices become more common | AI is seamlessly integrated into everyday life, making technology more intuitive and user-friendly. |
Understanding AI and Harnessing the Power
Understanding and harnessing AI’s power is no longer optional for nonprofit organizations; it is essential for driving innovation, efficiency, and impact in an increasingly complex and competitive landscape.
At its core, AI refers to developing computer systems that can perform tasks requiring human intelligence, such as visual perception, speech recognition, decision-making, and language translation. These systems are trained on vast amounts of data to recognize patterns, learn from experience, and make predictions or decisions without being explicitly programmed for every possible scenario.
AI encompasses various subfields and approaches, each with its techniques and applications. Machine learning, for example, enables systems to learn and improve their performance on a specific task over time without being explicitly programmed. Deep learning, a subset of machine learning based on artificial neural networks, allows AI to learn from unstructured data like text, images, and audio, opening new possibilities for analysis and insights.
Natural language processing (NLP) is another key area of AI that enables machines to understand, interpret, and generate human language. This technology powers applications like chatbots, sentiment analysis, and language translation, which can help nonprofits improve communication, engagement, and service delivery. Computer vision, meanwhile, allows AI to identify and process images and videos in ways that mimic human perception, with applications ranging from object recognition to facial analysis.
The potential applications of AI in the nonprofit sector are vast and varied. From optimizing fundraising efforts and improving donor engagement to streamlining operations and enhancing program delivery, AI can help nonprofits work smarter, faster, and more effectively. By automating routine tasks, analyzing complex datasets, and generating new insights, AI can free up human resources to focus on higher-level strategic priorities and mission-critical activities.
However, as with any powerful technology, AI presents challenges and risks that nonprofits must navigate carefully. Ensuring the ethical and responsible development and deployment of AI systems is critical, particularly when working with sensitive data or vulnerable populations. Issues like algorithmic bias, data privacy, and transparency must be addressed proactively to maintain trust and accountability.
Moreover, successful AI adoption requires more than just technical implementation; it also demands a cultural shift within organizations and new skills and mindsets among staff and stakeholders. Nonprofits must be willing to experiment, learn, and adapt as they integrate AI into their operations while focusing on their core missions and values.
Despite these challenges, the potential benefits of AI for nonprofits are too significant to ignore. As AI technology advances and becomes more accessible, organizations that embrace AI strategically and responsibly will be better positioned to drive impact, scale their efforts, and achieve their missions. The future of the nonprofit sector will be shaped by those who can effectively harness the power of AI to augment and enhance human capabilities while always keeping the well-being of the communities they serve at the forefront.
Importance of AI in the Nonprofit Sector
“Generative AI has the potential to change the world in ways that we can’t even imagine. It has the power to create new ideas, products, and services that will make our lives easier, more productive, and more creative. It also has the potential to solve some of the world’s biggest problems, such as climate change, poverty, and disease.”1
– Bill Gates, Microsoft Co-founder and Co-chair of the Bill & Melinda Gates Foundation
The nonprofit sector is vital in addressing various social, environmental, and economic challenges. However, nonprofits often face resource constraints and increasing demands for their services. AI can revolutionize how nonprofits operate, enabling them to optimize their resources, enhance decision-making processes, and amplify their impact.
AI can help nonprofits increase efficiency and reduce costs by automating routine tasks, analyzing vast amounts of data, and personalizing communication with stakeholders. These capabilities allow organizations to focus their limited resources on mission-critical activities. AI can also improve fundraising efforts and donor engagement...
Erscheint lt. Verlag | 4.11.2024 |
---|---|
Sprache | englisch |
Themenwelt | Wirtschaft ► Betriebswirtschaft / Management |
Schlagworte | ai nonprofit • ai sponsorships • Charity • Nonprofit • nonprofit events • nonprofit funding • Nonprofit Grants • nonprofit initiatives • nonprofit outreach • nonprofit programs • nonprofit social media • nonprofit solutions • nonprofit supporters |
ISBN-10 | 1-394-26325-2 / 1394263252 |
ISBN-13 | 978-1-394-26325-7 / 9781394263257 |
Haben Sie eine Frage zum Produkt? |
Größe: 6,9 MB
Kopierschutz: Adobe-DRM
Adobe-DRM ist ein Kopierschutz, der das eBook vor Mißbrauch schützen soll. Dabei wird das eBook bereits beim Download auf Ihre persönliche Adobe-ID autorisiert. Lesen können Sie das eBook dann nur auf den Geräten, welche ebenfalls auf Ihre Adobe-ID registriert sind.
Details zum Adobe-DRM
Dateiformat: EPUB (Electronic Publication)
EPUB ist ein offener Standard für eBooks und eignet sich besonders zur Darstellung von Belletristik und Sachbüchern. Der Fließtext wird dynamisch an die Display- und Schriftgröße angepasst. Auch für mobile Lesegeräte ist EPUB daher gut geeignet.
Systemvoraussetzungen:
PC/Mac: Mit einem PC oder Mac können Sie dieses eBook lesen. Sie benötigen eine
eReader: Dieses eBook kann mit (fast) allen eBook-Readern gelesen werden. Mit dem amazon-Kindle ist es aber nicht kompatibel.
Smartphone/Tablet: Egal ob Apple oder Android, dieses eBook können Sie lesen. Sie benötigen eine
Geräteliste und zusätzliche Hinweise
Buying eBooks from abroad
For tax law reasons we can sell eBooks just within Germany and Switzerland. Regrettably we cannot fulfill eBook-orders from other countries.
aus dem Bereich