Manipulation problem: Difference between revisions

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 ==Introduction==
 Artificial Intelligence (AI) has been heralded as one of the most revolutionary technologies of the 21st century, with the potential to transform every aspect of our lives. But like any technology, AI comes with its challenges; one of which is manipulation.
+Artificial Intelligence has seen rapid advancements in recent years. This has opened up new opportunities for the technology. AI is becoming more sophisticated, but it also poses new risks and challenges, such as the "manipulation issue." This is the problem that AI technology can now be used to manipulate users with great precision and efficiency.
 ==Background==
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 ===Human Oversight===
 Human oversight can also be employed to mitigate the manipulation problem in AI systems. This involves having humans review the decisions made by the system to guarantee they are fair and impartial.
+==Manipulation Problem and the Conversational AI==
+When AI is used in ways that aren't in their best interests, this is called the manipulation problem. This could happen in many ways, including by spreading fake news stories on social media and spreading false information. Conversational AI is the best and most efficient way to manipulate AI-driven data. Conversational AI, which uses AI to converse with people naturally, is becoming more popular in customer service as well as marketing.
+Large Language Models (LLMs) are the technology that allows this type of AI-driven manipulation. LLMs allow for interactive human dialogue in real-time, while keeping track of context and conversational flow. These AI systems are trained using large datasets which allow them to imitate human language and make logical inferences. They also have the ability to create an illusion of human-like commonsense.
+LLMs, when combined with real-time voice generators, allow for natural spoken interactions between humans, machines, and people that seem convincing, rational, and surprising authoritative. These systems can be used for creating virtual spokespeople, which can be used with extreme precision to manipulate users.
+Digital humans are another technology that can contribute to the manipulation problem. Digital humans are computer-generated characters who look and sound just like human beings. These characters can be used to target customers via video-conferencing, or in immersive three-dimensional worlds created using mixed reality (MR), eyewear. Digital humans are a viable technology due to rapid advancements in computing power, graphics engines and AI modeling techniques.
+LLMs and digital people enable us to interact regularly with virtual speakers (VSPs), who look, sound and act just like real people. This technology allows personalized human manipulation on a large scale. AI-driven systems can use webcam feeds to analyze emotions and process pupil dilation, eye movements, facial expressions and eye movements in real time.
+These AI systems are also able to detect vocal inflections and infer changing emotions throughout conversations. These systems are capable of adapting their strategies in real time to maximize their persuasive power, making it possible for predatory manipulation.
+==Regulating the Manipulation Problem==
+If policymakers don't act quickly, the manipulation problem could pose a serious threat to society. AI technology is being used in influence campaigns on social media platforms. However, this is a primitive approach compared to the future.
+It is possible that AI-driven systems capable of manipulating people on a large scale will be deployed soon. To protect our cognitive freedom against this threat, legal protections are necessary. Conversational AI interactions will be more perceptive, and more intrusive than any interaction with a human representative.