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محتوای ارائه شده توسط FundraisingAI, Nathan Chappell, and Scott Rosenkrans. تمام محتوای پادکست شامل قسمت‌ها، گرافیک‌ها و توضیحات پادکست مستقیماً توسط FundraisingAI, Nathan Chappell, and Scott Rosenkrans یا شریک پلتفرم پادکست آن‌ها آپلود و ارائه می‌شوند. اگر فکر می‌کنید شخصی بدون اجازه شما از اثر دارای حق نسخه‌برداری شما استفاده می‌کند، می‌توانید روندی که در اینجا شرح داده شده است را دنبال کنید.https://fa.player.fm/legal
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Episode 16 - Exploring Responsible Transformation in Fundraising Amidst AI's Complexities

28:09
 
اشتراک گذاری
 

Manage episode 443035443 series 3604820
محتوای ارائه شده توسط FundraisingAI, Nathan Chappell, and Scott Rosenkrans. تمام محتوای پادکست شامل قسمت‌ها، گرافیک‌ها و توضیحات پادکست مستقیماً توسط FundraisingAI, Nathan Chappell, and Scott Rosenkrans یا شریک پلتفرم پادکست آن‌ها آپلود و ارائه می‌شوند. اگر فکر می‌کنید شخصی بدون اجازه شما از اثر دارای حق نسخه‌برداری شما استفاده می‌کند، می‌توانید روندی که در اینجا شرح داده شده است را دنبال کنید.https://fa.player.fm/legal

From deciphering the mysteries of binary code to grappling with the implications of fake news controversies, today's episode offers engaging anecdotes and real-world examples to illuminate the multifaceted nature of AI's impact on society. With actionable insights and a compelling call to action, Nathan and Scott inspire you to navigate the complexities of AI with caution and conscientiousness, ensuring that fundraising endeavors embrace innovation while upholding ethical principles.

The conversation begins with a deep dive into Microsoft's groundbreaking announcement of a new deep fake tool, raising questions about the ethical considerations and societal implications of such technology. Nathan and Scott unpack the potential risks and benefits of deep fake technology, highlighting Microsoft's cautious approach and the broader impact on digital authenticity.

From there, the discussion evolves to examine Meta's latest multimodal model, Meta Llama 3, boasting an impressive 140 billion parameters and promising unparalleled text and visual processing performance. The hosts analyze the implications of Meta's open-source strategy and the complexities of trust in tech giants amidst growing skepticism from the public.

Delving into the nuances of AI ethics, Nathan and Scott explore the intricacies of copyright infringement and data usage, drawing attention to recent controversies involving Google's legal dispute with OpenAI over data extraction from YouTube. They reflect on the evolving definitions of copyright protection and the challenges of navigating the ethical landscape of AI-driven innovation. Also, throughout the episode, Nathan and Scott draw from their extensive experience in the fundraising sector to underscore the transformative potential of AI for nonprofit organizations. They emphasize the importance of responsible AI adoption, urging listeners to approach technological innovation with mindfulness and ethical awareness.

Episode Highlights

[01:22] Deep Fake Dilemma

[04:16] Tech Titans and Ethical Quagmires

[10:24] Trust in Tech: Nonprofit AI Adoption Amidst Growing Skepticism

[15:23] Copyright Conundrum and Complexities in AI Data Usage

[17:01] Binary Code and Language Models

[23:20] Leveraging Transformation Responsibly for Success

[2454] Previewing Future Episodes

Connect with Nathan and Scott:

LinkedIn (Nathan): linkedin.com/in/nathanchappell

LinkedIn (Scott): linkedin.com/in/scott-rosenkrans

Website: fundraising.ai

  continue reading

45 قسمت

Artwork
iconاشتراک گذاری
 
Manage episode 443035443 series 3604820
محتوای ارائه شده توسط FundraisingAI, Nathan Chappell, and Scott Rosenkrans. تمام محتوای پادکست شامل قسمت‌ها، گرافیک‌ها و توضیحات پادکست مستقیماً توسط FundraisingAI, Nathan Chappell, and Scott Rosenkrans یا شریک پلتفرم پادکست آن‌ها آپلود و ارائه می‌شوند. اگر فکر می‌کنید شخصی بدون اجازه شما از اثر دارای حق نسخه‌برداری شما استفاده می‌کند، می‌توانید روندی که در اینجا شرح داده شده است را دنبال کنید.https://fa.player.fm/legal

From deciphering the mysteries of binary code to grappling with the implications of fake news controversies, today's episode offers engaging anecdotes and real-world examples to illuminate the multifaceted nature of AI's impact on society. With actionable insights and a compelling call to action, Nathan and Scott inspire you to navigate the complexities of AI with caution and conscientiousness, ensuring that fundraising endeavors embrace innovation while upholding ethical principles.

The conversation begins with a deep dive into Microsoft's groundbreaking announcement of a new deep fake tool, raising questions about the ethical considerations and societal implications of such technology. Nathan and Scott unpack the potential risks and benefits of deep fake technology, highlighting Microsoft's cautious approach and the broader impact on digital authenticity.

From there, the discussion evolves to examine Meta's latest multimodal model, Meta Llama 3, boasting an impressive 140 billion parameters and promising unparalleled text and visual processing performance. The hosts analyze the implications of Meta's open-source strategy and the complexities of trust in tech giants amidst growing skepticism from the public.

Delving into the nuances of AI ethics, Nathan and Scott explore the intricacies of copyright infringement and data usage, drawing attention to recent controversies involving Google's legal dispute with OpenAI over data extraction from YouTube. They reflect on the evolving definitions of copyright protection and the challenges of navigating the ethical landscape of AI-driven innovation. Also, throughout the episode, Nathan and Scott draw from their extensive experience in the fundraising sector to underscore the transformative potential of AI for nonprofit organizations. They emphasize the importance of responsible AI adoption, urging listeners to approach technological innovation with mindfulness and ethical awareness.

Episode Highlights

[01:22] Deep Fake Dilemma

[04:16] Tech Titans and Ethical Quagmires

[10:24] Trust in Tech: Nonprofit AI Adoption Amidst Growing Skepticism

[15:23] Copyright Conundrum and Complexities in AI Data Usage

[17:01] Binary Code and Language Models

[23:20] Leveraging Transformation Responsibly for Success

[2454] Previewing Future Episodes

Connect with Nathan and Scott:

LinkedIn (Nathan): linkedin.com/in/nathanchappell

LinkedIn (Scott): linkedin.com/in/scott-rosenkrans

Website: fundraising.ai

  continue reading

45 قسمت

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