Episode 7: How To Live Our Life in Mistrust of AI Technology? and Should We Put Our Trust in Captured Data About Us.

The questions in this episode are some of the most pressing and consequential ones in our increasingly data-driven and technology-dependent era.

2) Issues of trust, privacy, algorithmic bias, and the implications of AI on decision-making processes.

3) Great Potential Power Over Human Freedom - Corrupt Use or Control and Unlawful Uses are Possible… likely unless we build into AI limits to its actions and create an AI Constitution of sorts that puts limits on it how it enforces laws, or it WILL create its own rules of human control.

4) Remember that technology in itself is neither good nor bad. How we use it determines its value or level of Trust.

5) We can never default to Trusting Technology, but it requires understanding its limitations and potential risks and ensuring adequate safeguards.

**An example is our TRUST in - Internet-connected car navigation systems - Explain my experience is just accepted and combined with Autonomous Cars. Captured Data Accuracy: Not all data collected or processed by AI systems are accurate or unbiased. The quality of AI outputs heavily depends on the quality of the data it uses. The output would be skewed if the input data were biased or flawed. No absolute trust in AI or cloud technologies for decision-making can lead to errors and reinforce existing biases.

Privacy of YOUR Personal Data: Technological advancements have resulted in severe privacy concerns. Massive amounts of personal data are stored and processed in the cloud, often without users' explicit knowledge or consent. This could lead to misuse or unauthorized access and use against us.

Accountability: Who is The Judge of AI? One of the critical challenges with AI technologies is the "black box" problem—meaning it's often difficult to understand how exactly these systems arrive at their decisions. This lack of transparency can result in unfair outcomes, with little recourse for those affected. Who Has the Final Ruling of Wrong Actions of AI? So, should we trust captured data about us feeding algorithms in AI or the cloud to help us make better decisions? We can, but with due caution and skepticism. To mitigate these risks and foster a healthy relationship with technology, We can Promote transparency and openness: AI algorithms should be transparent, and their workings understandable to users. Really? This would allow users to understand how decisions about them are being made. We Need To Know Their Rules! Implement strong privacy laws and regulations: These would provide a legal framework for protecting user data and ensuring its responsible use. Educate users: Public awareness and education on data privacy, AI, and cloud technologies are great, But can that be accomplished for all humans to help empower users to make informed decisions? While technology can enhance our lives and help us make informed decisions. It's also essential to consider its limitations and potential risks. Increasingly AI Tech is Likely Unaligned with Humans

TRUST FACTOR with Rob Greenlee (The Show) "Trust Factor" is a groundbreaking video show that focuses on all aspects related to building trust in human-to-human and business-to-human relationships. Rob Greenlee, a seasoned professional with years of experience in media communication and business leadership, hosts the show. He brings his expertise to this vital topic of our times. Each episode of the show delves into different aspects of trust-building, including the importance of trust in human relationships, communication strategies, ethics and integrity, conflict resolution, customer relationships, leadership, and more.

ROB GREENLEE (The Host) Rob Greenlee is well-known in the podcasting and new media industry. He has been a podcaster/radio broadcaster for over 24 years and is considered a pioneer in the new media industry. Rob is also a former host of the WebTalk World Radio Show, where he interviewed notable guests, discussing a wide range of topics related to the Internet, technology, culture, and online communication. He oversaw content development, distribution, and partnerships in prior executive leadership roles at places like Microsoft, PodcastOne, Spreaker, and Libsyn. Rob was inducted into the Podcast Hall of Fame in 2017.

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