The podcast dives into the ethical concerns of deep fake audio and video technology, the use of AI-generated voices for recording content, and the potential dangers of relying on AI and Google for information.
The podcast highlights the need for regulating AI to manage potential dangers and risks.
The challenges of biased and fake news content in AI training data are discussed, emphasizing the difficulty of determining unbiased news or opinions for AI models.
Deep dives
Ethics and AI: The Need for Regulation and Professional Standards
The podcast episode discusses the importance of regulating AI and implementing professional standards in the industry. The hosts recount a debate at the UK House of Commons where they argued that the biggest risk to the industry is not AI itself, but a lack of investment in professional standards and education. They acknowledge that AI is a significant risk but stress the importance of managing and regulating it to avoid potential dangers. The episode also explores the fear of big tech companies regarding open source AI, as it could potentially make their own technology irrelevant. The hosts discuss the need to strike a balance between regulation, safety frameworks, and market control in the AI industry, particularly in light of the challenges posed by AI manipulation of conversations and the potential impact on social media and political discourse.
AI and the Challenges of Training Data, Bias, and Manipulation
The podcast episode delves into the challenges related to AI training data, including biased and fake news content. The hosts highlight that the training data provided to AI models greatly influences their output. They mention efforts to remove bias, but note that even reputable news sources can be accused of bias. The hosts discuss the difficulty of determining unbiased news or opinions, especially for AI models. They also touch on the potential issue of copyright infringement when AI models inadvertently access copyrighted content. The hosts further explore the implications of AI's ability to generate deep fake videos, including concerns about authenticity, ethics, and potential misuse in various industries, such as entertainment and online learning.
Preparing for the Future of AI: Learning Culture and Policies
The podcast episode emphasizes the need for organizations to have a learning culture and ongoing education to keep up with the rapid advancements in AI. The hosts mention the importance of adopting AI tools to stay competitive in the market. They also stress the significance of having clear policies that define what the organization does and doesn't do with AI. The hosts suggest that it is crucial to revisit and update these policies regularly due to the evolving nature of AI technology. They encourage organizations to think about the ethical implications of AI and discuss scenarios where AI's capabilities can raise concerns, including the use of AI-generated voices and deep fake technologies. The episode concludes by inviting listeners to share their views and opinions on the challenges and opportunities presented by AI.
As artificial intelligence continues to grow rapidly, so do its ethical concerns. In this episode of the digital marketing podcast, we discuss the challenges of deep fake audio and video technology, its societal impacts and the balance between innovation and deception. We also delve into the ethical use of content and training data, highlighting issues of privacy and bias, as well as the need for a comprehensive but transparent AI policy. ---- We are running a coming up on 22nd November for those who are still getting to grips with the new platform. Show notes: Have feedback on the show? We really would love to hear from you. , tell us what you love and what you think could be better. And, if you are really enjoying the show, please
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