Intro

On today's episode of Everyday AI, we let you ask us anything! From the socioeconomic impacts of AI to plagiarism detection for AI-generated content, we answer all the questions. 

We also discuss today's latest AI news including G7 meeting to talk about AI's impact and bringing loved ones back from the dead using AI. 

If you have any questions you'd like to ask us, feel free to join us every weekday at 7:30 AM CST on LinkedIn, Twitter, YouTube, Facebook, and Twitch!

Time Stamps:

[00:01:01] AI Regulation Discussed at G7 Summit

[00:05:28] US Slow to Regulate AI as US Tech Stocks Surge

[00:09:40] Google's New Text to Speech and Audio

[00:14:33] Challenges of Addressing Biases in AI Algorithms

[00:18:23] How Will AI Impact Employment and Inequality?

[00:24:05] China Using AI to Bring Loved Ones Back From the Dead

[00:27:15] Human Rights in AI

For full show notes, head to YourEverydayAI.com


Topics covered in the podcast episode include:

- Concerns about human rights implications of cloning people's voices and generating digital avatars

- Benefits of using voice cloning technology to remember loved ones and for those who never had a chance to record their loved ones' voices while they were still alive

- Tools available for checking plagiarism in exact copies of texts

- US dragging its feet on AI regulation due to AI and tech stocks contributing significantly to the stock market growth

- Mitigating negative consequences of AI use in the entertainment industry, including writer's strike in Hollywood and the need for standards for AI use in productions

- Sounding platform by Google that allows text to speech, text to audio, and text to music

- Use of AI in certain industries to write scripts, storyboards, and other creative work leading to layoffs

- Two sides of technology, including the potential positives and negatives of AI

- Keeping up to date with AI developments and practical next steps

- G7 world leaders meeting to discuss AI regulation and making it more trustworthy

- Addressing biases in AI algorithms for fair and unbiased outcomes in various domains

Additionally, the podcast episode features a live Ask Us Anything session, where the speakers answer questions about the socioeconomic impacts of AI on employment, income distribution, and economic inequality and discuss biases in AI training models.


Keywords:
human rights, AI, cloning, voice generation, digital avatars, bad actors, stuffed animals, voice recording, plagiarism, Chat GPT, AI regulation, tech stocks, Google, Soundstorm, text to speech, text to audio, text to music, creative work, layoffs, socioeconomic impacts, income distribution, economic inequality, interview, biases, algorithms, banking industry, loan approvals, hiring, Lex Friedman, CEO, OpenAI, models training.