Arts & Entertainment Mountain
Arts & Entertainment Mountain Overview
This mountain represents diverse forms of art and entertainment, including music, literature, poetry, visual arts, performing arts, film, radio, television, and the Internet. The key difference between what pleases God and what pleases people lies in the intention behind it and its impact. Art and entertainment that please God are those that uplift the spirit, promote love, kindness, and truth, and reflect the beauty of creation.
Engaging with art and entertainment that honors God can lead to a more fulfilled and spiritually vibrant life. In contrast, indulging solely in what pleases man may leave one feeling hollow and disconnected from deeper truths. Sources of inspiration and enjoyment in today’s media are often selfish, erotic, depraved, horrific, and violent in content.
Satan employs media to create human addictions and bondages, promoting the lie that evil is more powerful than righteousness, and presenting it as something to be feared rather than opposed and overcome.
This section focuses on Artificial Intelligence and its impact on the arts and entertainment sector, particularly because younger generations engage with media far more than older generations do. A significant and emerging concern in media and art is the use of "deep fakes," which are created by AI to misrepresent what real individuals say or do. This misrepresentation can mislead viewers into believing false information about a person or situation. As a result, it can damage a person's reputation and character based on fabricated narratives, leading people to draw incorrect and unfounded conclusions about others.
Deep fakes are part of the Narrative and Visual Warfare machinery employed by individuals seeking to consolidate political power, undermine elections, and defame those who might threaten authority or ideologies. This situation significantly complicates the efforts of those trying to discern and uncover the truth in our culture and world.
AI Issues
AI has significantly improved the internet experience for users through chatbots, virtual assistants, and recommendation algorithms. AI tailors content, provides personalized responses, and streamlines interactions, all of which have made online platforms more efficient and user-friendly. And AI-powered search engines help users find relevant information quickly, while Natural language processing (NLP) allows for more accurate search results.
All of this is good, but AI can also create content, including news articles, summaries, and even poetry, which raises questions about authenticity and human creativity. And AI algorithms analyze user behavior to personalize social media feeds, advertisements, and recommendations, which can lead to echo chambers, reinforcing existing beliefs and isolating users from diverse perspectives.
Ethically, as AI evolves, ethical dilemmas arise. Deepfake technology can manipulate videos, potentially impacting trust in online content. These developments challenge the understanding of truth and authenticity.
Virtual Reality
Artificial intelligence (AI) has significantly transformed virtual reality (VR), improving immersive experiences in many ways. AI algorithms create more realistic virtual worlds and are also designed to adapt to a user's behavior. This makes interactions between humans and machines more personal and engaging, but it can also lead to addictive tendencies. AI interprets hand movements and gestures, making programs feel more personalized. Meta Quest 2, a major player in the VR industry, has made a big impact on the VR world. The headset transports the user into a virtual reality, eliminating boredom, schoolwork, or future plans. While wearing it, the user's preferences, movements, and more are constantly analyzed. Big Tech will better understand users! As a result, future products will be even more engaging.
Natural Language Processing
Natural Language Processing: AI-powered voice recognition enables smooth communication within VR. It streamlines interaction between humans and machines. MonkeyLearn is a no-code NLP platform, making NLP accessible to nearly everyone. One positive use of NLP is analyzing large amounts of data in just minutes. It is also used to improve customer service requests by prioritizing urgency and more. NLP allows for deeper analysis of business insights. It aims to relieve employees from tedious tasks, allowing them to focus on higher priorities, but some employees may be laid off as automation takes over.
The main downsides of NLP include built-in biases that often go unnoticed. For example, Amazon’s automated system for screening job applicants used historical data to identify patterns. As a result, the Amazon system discriminated against women. Some NLP models also struggle with understanding context and meaning, which can lead to communication errors. They may also have difficulty with humor or rare words and phrases. Most importantly, using NLP raises concerns about data ownership, privacy, intellectual property, and other issues.
AI Processing Problems
AI-generated content is quick but not always dependable. It can imitate writing styles (e.g., "write a paragraph as Abe Lincoln would."), but it remains a machine and will likely lack the emotional depth that a human can bring. Additionally, a human still needs to review for content mistakes. Any biased content could potentially cause negative experiences for readers or customers. On the employee side, some worry about being replaced by AI, but smart workers learn how to use it to enhance their careers (at least for now). Lastly, there are legal concerns. AI has no awareness of whether the material it uses is copyright protected or not, which is a major issue right now.
Youth Issues
As AI analyzes user behavior patterns to predict preferences and enhance VR experiences, the likelihood increases that children, teenagers, and even adults will become addicted to games and other interactive AI programs. Many households in the US today lament that kids spend too much time gaming on their computers. This builds neural pathways that crave more stimulation. These games act as easy babysitters, but at what cost? Young people often lack enough background knowledge to judge whether the answers AI provides are trustworthy. In the US, there is an ongoing info war over who defines misinformation and disinformation. What one person calls fake news may be seen as credible by another. Clearly, some information is just wrong (e.g., "There are one million people on planet earth today"), but AI might also overlook important topics like Jesus' resurrection. Young users’ personal data is extensively collected by AI for targeted ads and potentially by predators. Many kids probably don't realize these dangers. Also, the art and images AI creates can promote unrealistic body images. Suicide and drug addiction are increasingly common among tweens and teens. As children develop their understanding and use of AI, they may know more than teachers in certain areas. It’s crucial for educators to understand and model safe, responsible AI use, or an entire generation could be at risk.
More Issues
It is important to be able to trust that the AI a person uses is reliable and trustworthy, but the user does not get to see its decision making process, so it is difficult to make a rational decision. In addition, there are privacy breach issues as AI stores large amounts of personal data. To date, AI technology has not proven itself to humans. AI enhanced cars, for example, are not trusted by most people as being safe. Images of these vehicles are usually shown on a test track, but few would be willing to have an AI driven ambulance whisk them off to a hospital. And the concern about human replacement for jobs still looms large, as is the issue of human replacement in general.
Arts & Entertainment Mountain Summary
Summary Points
Addressing the diverse and complex issues surrounding AI will require collaboration among users, AI developers, the legal profession, policymakers, and other industry stakeholders. The goal is to create reliable and responsible AI systems that do not infringe on intellectual property rights or target disenfranchised or marginalized groups, especially those who are disadvantaged or impoverished. AI must not become a tool for class warfare. However, a gap remains between AI developers and end users that needs to be addressed.
Here are some points to consider when interacting with AI:
AI may appear human-like, but it is still a technology that 'predicts' based on patterns it has observed previously and the context inferred from its questions or instructions. Not all responses will make sense in the current context or be ethical, as the training of AI intentionally includes harmful, illegal, and 'bad' knowledge, alongside 'good' knowledge. AI has no inherent ethical awareness to restrict it. We should develop 'ethical' AIs that are not trained on harmful, illegal, and unethical content.
Potential Benefits of AI include:
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Providing enhanced prosthetics and improving the scope of diagnosing medical conditions.
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Offering enhanced warning systems, improved steering, driver alertness warnings, and ultimately, AI-driven vehicles.
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Enhancing cybersecurity and creating more powerful cyber-hacking tools for criminals.
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Improving vertical farming and increasing crop production.
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Enhancing financial and investment services.
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Improving customer service.
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Advancing scientific research while also potentially corrupting it due to AI hallucinations.
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Identifying complex patterns that humans have overlooked.
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Learning in the sense that a pattern discovered in one domain can be applied to a different domain.
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Instantly applying 'discovered' knowledge across entire AI networks.
Cautions and considerations of AI include:
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Bias isintroduced by the training data that becomes part of the AI algorithm.
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Cybersecurity threats and an increased risk of hacking financial networks.
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Major violations of personal data privacy and heightened identity threats.
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Infringement of copyrights and other intellectual property.
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Increasing the risk of stealing proprietary and confidential information - business espionage
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Lack of accountability in the event of errors.
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Misinformation and disinformation through deep fakes that misrepresent real individuals by putting words in their mouths and creating actions they didn't take.
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Manipulation of human knowledge systems to enslave, control, and limit individual liberties.