FundraisingAI

Nathan Chappell, Scott Rosenkrans
  • 4.9（8則評分）
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FundraisingAI

The need for change in the fundraising sector has never been greater. But innovations in technology are evolving faster than our ability to understand them.  Are these advances good or bad?  Do they have unintended consequences? And what is the application to the fundraising sector? That’s what we’re here to find out. Welcome to the FundraisingAI podcast, your up-to-date resource for beneficial and responsible AI for the global fundraising community. In our podcast, we explore the intersection where philanthropy meets technology, delving into beneficial and responsible AI practices and their impact on fundraising. Join us for engaging discussions with industry experts and thought leaders, where we uncover: Latest Trends in AI Development: Updates on advancements in AI technologies and their applied application to the global fundraising sector. Transparent Fundraising Strategies: Using AI beneficially to build trust and accountability in donor relationships. AI for Social Impact: Harnessing AI technologies to drive meaningful change and amplify impact. Data Privacy and Security: Safeguarding donor information in an increasingly digital world. Beneficial and Responsible AI Development: Crafting algorithms that prioritize fairness, transparency, and inclusivity. Collaborative Initiatives: Exploring partnerships that promote responsible AI adoption and innovation. Whether you’re a nonprofit professional, fundraiser, or technology enthusiast, Fundraising.AI equips you with actionable insights and best practices to navigate the evolving landscape of fundraising and AI. Join us on this journey towards creating a more generous future for all.

  1. Shaping the Future of Philanthropy Through Technology with Jean Westrick

    1 天前

    Shaping the Future of Philanthropy Through Technology with Jean Westrick

    Meet Jean Westrick, an Executive Director at the Technology Association of Grantmakers (TAG). She has 20+ years in philanthropy, specializing in technology strategy, program execution, and foundation operations. Before being the next Executive Director of the Technology Association of Grantmakers, Jean was the Director of IT Strategy and Communications at The Chicago Community Trust, where she led change management efforts for the foundation's digital transformation initiative. Also, while at the Trust, Jean directed On the Table, an award-winning engagement model designed to inspire resident action, replicated in 30 cities nationwide.  During today's conversation, Jean shares her journey through philanthropy and technology while shedding light on the evolving intersection of these fields. Starting with her reflections on the collaborative spirit at Impact House in Chicago—a dynamic space for change-makers—Jean explores the importance of fostering community and partnerships in advancing social missions.  As the discussion transitions to her role at TAG, Jean recounts her career path, from civic engagement projects at the Joyce Foundation and Chicago Community Trust to her unexpected but transformative shift into technology roles within philanthropy. She highlights the critical role technology plays in amplifying impact and discusses the need for the philanthropic sector to embrace tools like AI responsibly.  Jean introduces TAG's Responsible AI Adoption Framework, delves into key findings from the State of Philanthropy Tech Survey, and emphasizes the importance of data governance, privacy, and inclusive access to AI tools. Throughout the conversation, she and Nathan explore the philosophical and practical implications of AI in the nonprofit world, the democratization of technology, and the sector's responsibility to maintain trust and resilience in communities.  The dialogue concludes with Jean sharing her favorite AI tools, practical advice for navigating the tech landscape, and a call for collaboration to ensure technology aligns with and enhances philanthropy's core mission.  EPISODE HIGHLIGHTS    [01:16] Impact House: A Hub for Collaboration and Change-Makers in Chicago   [03:10] Jean's Career Journey and Transition to TAG   [08:52] Jean's Accidental Tech Journey   [14:39] Responsible AI Adoption Framework   [18:06] Learnings from State of Philanthropy Tech Survey   [23:09] Philanthropy's Role in AI Adoption   [27:33] Trust and Resilience in Philanthropy   [30:20] Jean's Go-To AI Tool  TIPS AND TOOLS TO IMPLEMENT TODAY  Create environments to encourage innovation and community-building.  Leverage tools to streamline operations and enhance impact.  Adopt frameworks to ensure AI aligns with your mission and maintains trust.  Invest in policies to ensure privacy, security, and quality data for AI adoption.  Involve all levels of your team in adopting and governing new technologies.  Encourage asking questions and exploring tools like ChatGPT or Claude to understand their potential.  Ensure grant makers and recipients are on the same page regarding tech and AI use.  Incorporate diverse perspectives to address complex challenges in tech adoption.  Use technology to address the root causes of societal issues and adapt to rapid change.  Experiment with AI tools integrated into daily workflows, tailoring choices to fit organizational needs.  RESOURCES  Connect with Jean:  Linkedin: linkedin.com/in/jeanwestrick  Mentioned in the episode:  State of Philanthropy Tech Survey: tagtech.org/report/2024-state-of-philanthropy-tech-survey/  TAG's AI resources, including our Framework for Responsible AI Adoption in Philanthropy: tagtech.org/ai-resources-for-philanthropy/  Connect with Scott and Nathan  Scott - linkedin.com/in/scott-rosenkrans-916b9139/   Nathan - linkedin.com/in/nathanchappell/

    36 分鐘
  2. AI in Fundraising: Embracing Innovation, Responsibility, and Community

    11月13日

    AI in Fundraising: Embracing Innovation, Responsibility, and Community

    Starting today's conversation, Nathan and Scott discuss practical takeaways from recent conferences, including Scott's experience at the AFP Kindleberger Forum, where he saw firsthand how AI can empower small nonprofits with limited resources. They also explore the unique advantages smaller organizations have in adopting AI, given their agility and innovative potential. They propose forming nonprofit AI clubs to foster collaboration and share knowledge within the sector.  The two delve into the growing integration of AI in everyday tools, such as using AI to summarize PDF documents and leveraging ChatGPT's new features for greater efficiency. They share personal anecdotes, like Nathan using ChatGPT to translate in real-time, illustrating AI's potential to streamline tasks. The conversation also touches on ethical considerations, with a thought-provoking discussion on balancing human values and AI's impact on relationships. Emphasizing responsible adoption, Nathan and Scott close with a call to action for the fundraising community to embrace AI thoughtfully, as they believe it can amplify missions and support professional growth in powerful ways.    EPISODE HIGHLIGHTS [03:06] Takeaways From Recent Conferences  [04:34] Challenges and Opportunities for Small Nonprofits  [09:38] AI Integration and Everyday Use   [12:59] Advanced Features of ChatGPT   [20:54] The Blend of Human and AI   [24:43] Conclusion and Call to Action  TIPS AND TOOLS TO IMPLEMENT TODAY  Use ChatGPT for quick content creation, brainstorming, and outreach templates.  Use tools like Adobe Acrobat's AI to quickly summarize reports or articles.  Start or join an AI club within your nonprofit community to exchange ideas and best practices.  Participate in AI and fundraising events to stay updated on trends and tools.  Don't just use AI—make it part of your long-term strategy to amplify mission impact.  Try features like Canvas, voice mode, or in-depth searches to enhance productivity.  Small nonprofits can often implement AI faster—begin with basic tools, then expand as needed.  Utilize AI translation in real-time to bridge language gaps with donors or volunteers.  Educate teams on ethical AI practices and consider the social impact of AI decisions.  Encourage feedback and share your AI experiences with others in the fundraising sector for collective learning.  RESOURCES Scott Rosenkrans on Linkedin: linkedin.com/in/scott-rosenkrans  Nathan Chappell on Linkedin: linkedin.com/in/nathanchappell/

    28 分鐘
  3. Empowering Low Resource Languages with Subha Vadlamannati of OpenNLPLabs

    11月6日

    Empowering Low Resource Languages with Subha Vadlamannati of OpenNLPLabs

    In today's conversation, Subha Vadlamannati, founder and CEO of OpenNLP Labs and a student at Stanford, shares her journey and mission to make natural language processing (NLP) accessible for low-resource and marginalized languages. She explains the organization's focus on real-world applications of NLP, especially for languages underrepresented online, despite the vast number of global languages. Subha underscores the consequences of excluding these languages from digital resources, sharing real-world examples where language barriers caused life-threatening issues.  Highlighting Open NLP Labs' innovative tools, such as Edu Link and Polyglot, Subha discusses their aim to support learning and communication in over 100 low-resource languages. Subha also describes their research on fairness and bias in AI, emphasizing ethical AI practices to make technology more inclusive and responsible. She touches on the challenges of scaling fair AI and the importance of accurate, diverse datasets, especially as AI progresses toward multimodal applications in text, audio, and video.  The conversation includes practical advice for nonprofit leaders looking to use AI, encouraging a mission-aligned approach and community engagement. Subha concludes by expressing hope for the future of ethical AI, her dedication to advancing research in robotics and multimodal applications, and her encouragement for young researchers to join the field, driven by inclusivity and ethical responsibility.   EPISODE HIGHLIGHTS    [01:30] Meet Subha!  [02:39] Understanding Low Resource Languages  [04:54] Importance of Language Representation   [06:54] Challenges and Solutions for Low-Resource Languages  [08:18] Personal Journey and Motivation   [12:32] Tools and Projects of Open NLP Labs   [13:36] Workshops and Community Engagement   [15:06] Ethical AI and Future Directions   [17:33] Empowering the Next Generation for Social Impact   [20:06] Challenges and Opportunities in AI Research  [22:35] Impact of Future Technologies  [26:26] Subha's Future Aspirations  [31:53] Advice for Nonprofit Leaders  TIPS AND TOOLS TO IMPLEMENT TODAY  Advocate for more digital resources and platforms for low-resource languages.  Prioritize fairness by auditing AI models and aligning them with ethical AI frameworks.  Use multilingual learning tools like Edu Link and Polyglot for education in low-resource languages.  Ensure important information is available in multiple languages.  Develop community-specific strategies to address misinformation in low-resource languages.  Hold workshops for underserved communities on relevant topics like safety and readiness.  Engage in mission-driven AI projects.  Push for transparency in training datasets to improve fairness in AI systems.  Use AI to improve nonprofit efficiency but keep content genuine and mission-aligned.  Contribute to open-source language datasets to advance AI research inclusively.  RESOURCES  OpenNLPLabs: opennlplabs.org/  Subha Vadlamannati on LinkedIn: linkedin.com/in/subhavadlamannati/  OpenNLPLabs on LinkedIn: linkedin.com/company/opennlplabs/  Connect with Scott and Nathan  Scott - linkedin.com/in/scott-rosenkrans-916b9139/   Nathan - linkedin.com/in/nathanchappell/

    37 分鐘
  4. Manipulation vs. Rationale: The need for ethical use of AI

    10月23日

    Manipulation vs. Rationale: The need for ethical use of AI

    The evolution of AI has made our work easy and quick. But it’s crucial that we are using it for the right reasons. There’s also a dark side to using AI that most people aren’t aware of. That being said, we must research those who develop these technologies and find out how they are created.  Nathan and Scott started today’s conversation by looking back at the fundraising AI’s second global summit and expressing their gratitude to those who attended and those who helped behind the scenes. Moving on, Nathan talks about the urgent need for innovation in the non-profit sector, saying that we must do it mindfully and work together. Nathan and Scott also share their opinions on the evolution of AI and its current status, where you get overwhelming results with a simple conversation with AI models like NotebookLM. They also talk about the dark side of AI, where you can be manipulated without you knowing. Here, Nathan explains that while people have a lot of opportunities to learn different things in different ways with AI, that doesn’t mean it comes without any cost. They also share their opinions on using AI for the right reasons. You have to keep reminding yourself that you are using AI for the right reasons and that it won’t cause harm to others.    EPISODE HIGHLIGHTS  [02:05] Synopsis of Fundraising AI's second global summit.   [03:47] Lack of education on technology.  [12:27] Enhancing efficiency and addressing demand with AI.  [13:37] The urgent need for innovation in the nonprofit sector.  [20:07] The evolution of AI.   [23:23] NotebookLM: Note-taking & research assistant developed by Google.   [26:49] The dark side of AI.  [34:00] The importance of keeping in mind the reason for using AI.   [36:03] Embracing technology with a natural state.   [40:51] The variants of flattery.      TIPS AND TOOLS TO IMPLEMENT TODAY  Adopt AI technologies to enhance your nonprofit's work, not just to follow trends.  Implement AI thoughtfully, ensuring it aligns with your organization’s values and goals.  Work with others in the sector to share knowledge and strategies.  Different learning opportunities with AI don’t mean that they come without a cost.   Be careful when using AI to learn a point of view.   Raise the question of why you're using this technology.  Evaluate new technologies through mental exercises.   Be cautious of the intentions of AI.   Stay informed about the new technologies and their changes.   It’s safe to have some other sources to verify the information that we are getting from AI models.   RESOURCES  Connect with Scott and Nathan  LinkedIn  Scott - linkedin.com/in/scott-rosenkrans-916b9139/   Nathan - linkedin.com/in/nathanchappell/     Donor Perceptions of AI: Key Findings  cheriankoshy.com/aistudy/     Summoning AI: Lessons from The Sorcerer’s Apprentice for a New Age  linkedin.com/pulse/summoning-ai-lessons-from-sorcerers-apprentice-new-nathan-xxnzc/

    46 分鐘
  5. Building Trust in the AI Era with Cherian Koshy

    10月16日

    Building Trust in the AI Era with Cherian Koshy

    In today's conversation, Cherian Koshy reflects on the evolution of technology, transparency, and the role of AI in nonprofit fundraising. Starting with personal stories, Cherian and Nathan discuss the early technology adoption in their careers and the transformative "Aha" moments that shaped their understanding of tech innovation. Cherian highlights the potential of AI, sharing his reaction to Notebook LM's audio file generation and exploring the implications of AI-generated content. The conversation pivots to transparency, with Cherian stressing the importance of nonprofits being open about their AI use, especially when handling donor data. He emphasizes that trust is a cornerstone for donor relationships, reinforced by insights from a recent survey showing donors prioritize transparency and are increasingly comfortable with AI, though privacy concerns remain. Wrapping up, both speakers emphasize the need for ongoing research, collaboration, and sector-wide transparency to build trust and responsibly integrate AI into nonprofit strategies. HIGHLIGHTS [00:55] Fundraising AI Summit Highlights [06:03] Notebook LM and Its Implications [09:23] Hidden Influences in Technology [15:37] Innovative Survey Techniques [19:08] Donor Perspectives on AI [23:58] The Role of Transparency in AI Use [29:46] Survey Findings and Donor Concerns [31:55] Report on Healthcare Philanthropy [33:02] Future Directions TIPS AND TOOLS TO IMPLEMENT TODAY Explore AI for synthesizing content and demos. Identify key tech moments to boost innovation. Ensure AI use is clear and openly communicated. Maintain trust by combining AI and human interaction. Ask donors directly about their AI concerns. Customize approaches for different donor segments. Proactively disclose AI usage to build donor confidence. Explore donor insights for tailored approaches. Be cautious about AI's influence. Engage in sector-wide collaboration for AI research. RESOURCES Connect with Cherian Koshy: LinkedIn: linkedin.com/in/cheriankoshy/ Mentioned in the episode: Donor Perceptions of AI Study: cheriankoshy.com/aistudy/ Chronicle of Philanthropy: Donor Perceptions of AI: philanthropy.com/article/how-do-donors-feel-about-a-i-this-new-study-asks Connect with Nathan and Scott:  LinkedIn (Nathan): linkedin.com/in/nathanchappell/  LinkedIn (Scott): linkedin.com/in/scott-rosenkrans  Website: fundraising.ai/

    41 分鐘
  6. Empower Nonprofits Through AI with Erin McHugh Saif and Devi Thomas

    10月9日

    Empower Nonprofits Through AI with Erin McHugh Saif and Devi Thomas

    Devi Thomas, named as one of the 2023 Social Impact Pioneers and Top Women in Communications, leads the Nonprofit Community at Microsoft Philanthropies. She engages wit h nonprofits to address community challenges through AI and technology, empowering them to create impactful solutions and drive social change. On the other hand, Erin McHugh Saif is the Chief Product Officer at Microsoft Tech for Social Impact, with prior experience at Salesforce and TIBCO. She focuses on making technology accessible for nonprofit organizations, emphasizing innovation and affordability. Starting the conversation, Devi shares her enthusiasm for training individuals in AI and technology, highlighting the economic opportunities AI brings and the necessity of integrating people into the digital realm. She reflects on her journey, expressing gratitude for working with AI and her commitment to the nonprofit sector. Erin also details her work connecting Microsoft's resources with global nonprofit organizations. She emphasizes the importance of affordability and accessibility in technology for nonprofits, discussing her transition from the tech industry to the Tech for Social Impact team. She underscores the necessity of human involvement in change management and the role of well-designed software in supporting nonprofit missions. The conversation also delves into the guests' paths to the nonprofit sector, revealing their diverse backgrounds and the transferable skills that can bridge corporate and nonprofit work. They highlight the scrappiness of the nonprofit sector and its innovation potential. Addressing AI adoption in nonprofits, Devi and Erin discuss the challenges organizations face, including skepticism, lack of understanding, and distrust, particularly in the US and Western Europe. They emphasize the need for training and exposure to foster trust in AI technologies. When asked for advice for nonprofit leaders hesitant about AI, Erin suggests starting small and fostering a culture of experimentation, while Devi stresses the importance of ethical governance in AI use and adopting a learning mindset. Finally, they discuss Microsoft's global support for nonprofits, including partnerships aimed at upskilling individuals in AI, particularly in developing countries, showcasing the impact of these initiatives through personal stories. Both speakers reaffirm Microsoft's commitment to making technology accessible and beneficial for nonprofits worldwide. HIGHLIGHTS [03:52] Devi's Role at Microsoft [05:57] Erin's Role and Microsoft's Tech for Social Impact [08:25] Devi's Path to the Nonprofit Sector [11:18] Erin's Journey to the Nonprofit Sector [15:07] AI and Nonprofit Adoption [28:03] Advice for Nonprofit Leaders [34:36] Lessons from the Corporate World [38:21] Global Support for Nonprofits  TIPS AND TOOLS TO IMPLEMENT TODAY  Explore tools and platforms designed specifically for nonprofits. Work with vendors who prioritize making technology accessible for nonprofits. Utilize skills from the corporate sector to enhance nonprofit agility and decision-making. Ensure clean and accurate data to maximize AI potential and operational efficiencies. Invest in training to overcome skepticism and build trust in AI tools among staff. Experiment with AI solutions in manageable increments to foster a culture of innovation. Develop frameworks to ensure responsible and ethical use of AI. Foster an environment where continuous learning and adaptation to new technologies are valued. Regularly assess and discontinue programs that are not yielding results. Collaborate with organizations and programs focusing on AI upskilling, especially in developing regions. Resources:  Connect with Erin and Devi: Erin McHugh Saif: linkedin.com/in/erinmchughsaif/ Devi Thomas: linkedin.com/in/devi-thomas/ Connect with Nathan and Scott:  LinkedIn (Nathan): linkedin.com/in/nathanchappell/  LinkedIn (Scott): linkedin.com/in/scott-rosenkrans  Website: fundraising.ai

    45 分鐘
  7. Making AI Accessible, Fun, and Impactful for Nonprofits with Tim Lockie

    10月2日

    Making AI Accessible, Fun, and Impactful for Nonprofits with Tim Lockie

    Tim Lockie is the CEO of The Human Stack, an organization dedicated to helping nonprofits and teams integrate technology, including AI, into their workflows. With a background in nonprofit work and tech implementation, Tim is passionate about making technology accessible and practical, especially in data-driven decision-making and fundraising.   In this episode, Tim shares the origin and development of the "Human Stack," a concept born from his nonprofit background and experience implementing Salesforce in 2009. Noticing that only 5% of organizations effectively use data for decision-making, Tim coined the term "Human Stack" to describe the collaborative nature of human teams, mirroring how tech stacks work together.  Tim recounts the launch of the Human Stack in 2022 after rebranding his previous firm, initially hesitant about incorporating AI. However, later, he recognized the importance of AI and created courses to help organizations embrace technology, including AI for fundraising. He elaborates on his "AI for Anyone" course, designed to make AI accessible and enjoyable, using a "trampoline model" to ease users into the experience.  Tim explains how the ethos of responsible AI, influenced by the fundraising AI framework, shapes his training, helping nonprofits practically integrate AI. As the episode progresses, Tim shares his excitement for the upcoming fundraising AI summit and the release of his new AI Playbook, a course aimed at helping teams leverage AI in their workflows. Throughout, the conversation emphasizes the shared goal of making AI a force for good, especially in the nonprofit sector.     HIGHLIGHTS [02:06] Origin Story of the Human Stack   [09:09] AI for Anyone and Its Evolution   [20:54] AI for Anyone Course Details   [25:19] Integration of Fundraising AI Ethos   [26:19] Thoughts on Upcoming Summit and Tim's AI Playbook  TIPS AND TOOLS TO IMPLEMENT TODAY  Help team members see themselves as AI users, regardless of their experience level.  Join the 5% of organizations using data to drive decisions—start small with key metrics.  Overcome reluctance; AI can enhance both human and organizational efficiency.  Educate your team on AI and technology to reduce fear and foster adoption.  Use engaging models to make AI learning enjoyable.  Help team members see themselves as AI users, regardless of their experience level.  Regularly collect feedback to ensure your courses or tools are user-friendly.  Build an ethos of responsible AI by integrating it into your training programs.  Participate in AI-focused summits or workshops to stay connected with innovations.  Help teams integrate AI in everyday workflows with practical, leader-oriented guides.  Resources:  Connect with Tim:  Linkedin: linkedin.com/in/tlockie/    Mentioned in the episode:  AI for Anyone partner page: hubs.ly/Q02QRRVs0  Connect with Nathan and Scott:  LinkedIn (Nathan): linkedin.com/in/nathanchappell/  LinkedIn (Scott): linkedin.com/in/scott-rosenkrans  Website: fundraising.ai/

    32 分鐘
  8. AI and the Future of Work: Navigating the Balance Between Automation, Human Interaction, and Ethical Decision-Making

    9月25日

    AI and the Future of Work: Navigating the Balance Between Automation, Human Interaction, and Ethical Decision-Making

    This episode explores the trade-offs between privacy and convenience, the promise of AI in enhancing work-life balance, and the ethical challenges of automation!  During today's conversation, Scott and Nathan discuss various AI topics, starting with LinkedIn's new feature that allows training AI on user data, sparking a discussion on privacy versus convenience. They then explore Salesforce's Agent Force and the balance between automation and human interaction, particularly in fundraising. Nathan raises concerns about acceleration burnout due to AI, while Scott reflects on using AI to save time. However, they question whether AI enhances human interactions or increases efficiency.  Moreover, Scott shares insights from Jensen Huang on tech growth beyond Moore's Law, and they discuss AI's future, including the potential of GPT-401 and tools for decision-making. The conversation also touches on massive AI investments like Microsoft's Stargate project and Oprah Winfrey's AI special, stressing the need for empathy and strategic adoption of AI in society.   [00:41] Introduction and Personal Updates  [02:51] Fundraising AI Summit is 12 Days Away!  [06:10] LinkedIn's AI Data Collection, Salesforce's Agent Force, and More  [11:35] Acceleration Burnout and AI's Role in Work-Life Balance  [16:34] Moore's Law and the Future of AI  [23:27] GPT-401 and Its Implications  [27:10] AI Tools and Predictive Models  [32:10] Scale and Investment in AI  [34:28] Oprah Winfrey's AI Special and Its Implications  [35:52] Conclusion and Upcoming Podcast  TIPS AND TOOLS TO IMPLEMENT TODAY  Use AI-powered Agent Force to automate tasks and save time for more meaningful work.  Use AI in fundraising, but maintain a personal touch to avoid over-automation.  Set clear boundaries and avoid overloading yourself with tasks when AI saves time.  Ensure AI enhances human interactions, not replaces them, to keep a human-centric approach.  Follow exponential tech growth and new AI models like GPT-401 to stay ahead.  Explore tools like Forecast.safe.ai to predict outcomes and improve decision-making.  Align AI adoption with specific goals to boost productivity and avoid wasting resources.  Track large-scale AI projects like Microsoft's Stargate to understand future AI potential.  Focus on the human side of AI, ensuring it addresses job loss concerns and societal impacts.  Periodically check and update your privacy settings on AI-driven platforms to ensure they align with your preferences.  RESOURCES Connect with Nathan and Scott:  LinkedIn (Nathan): linkedin.com/in/nathanchappell/  LinkedIn (Scott): linkedin.com/in/scott-rosenkrans  Website: fundraising.ai/    Mentioned in the episode:  OpenAI unveils o1 models  Upgraded Alexa to be powered by Claude  Prediction AI: https://forecast.safe.ai  Prediction AI Example: https://forecast.safe.ai/?id=66ec2aa41bcc67996eee8240  Perplexity coming under fire  Environmental Impact of AI  Bill Gates's big bet on Nuclear power

    39 分鐘
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簡介

The need for change in the fundraising sector has never been greater. But innovations in technology are evolving faster than our ability to understand them.  Are these advances good or bad?  Do they have unintended consequences? And what is the application to the fundraising sector? That’s what we’re here to find out. Welcome to the FundraisingAI podcast, your up-to-date resource for beneficial and responsible AI for the global fundraising community. In our podcast, we explore the intersection where philanthropy meets technology, delving into beneficial and responsible AI practices and their impact on fundraising. Join us for engaging discussions with industry experts and thought leaders, where we uncover: Latest Trends in AI Development: Updates on advancements in AI technologies and their applied application to the global fundraising sector. Transparent Fundraising Strategies: Using AI beneficially to build trust and accountability in donor relationships. AI for Social Impact: Harnessing AI technologies to drive meaningful change and amplify impact. Data Privacy and Security: Safeguarding donor information in an increasingly digital world. Beneficial and Responsible AI Development: Crafting algorithms that prioritize fairness, transparency, and inclusivity. Collaborative Initiatives: Exploring partnerships that promote responsible AI adoption and innovation. Whether you’re a nonprofit professional, fundraiser, or technology enthusiast, Fundraising.AI equips you with actionable insights and best practices to navigate the evolving landscape of fundraising and AI. Join us on this journey towards creating a more generous future for all.

資訊

  • 創作者
    Nathan Chappell, Scott Rosenkrans
  • 活躍年代
    2024年
  • 集數
    44
  • 年齡分級
    兒少適宜
  • 節目網站
    FundraisingAI

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