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First ever AI lawyer to defend someone in court (traffic ticket). AI lawyer is an app that listens and advises defendant through earpiece. This could disrupt legal profession. AI company DoNotPay aims to help fight unfair charges from large corporations. App has been successful in getting parking tickets dismissed. Legal community pushback forced DoNotPay to abandon using AI in court.

Data-driven decisions are key in business but data can mislead. Correlation doesn't equal causation. Causal AI helps find cause and effect, not just correlations. This is better for decision-making, especially in areas like healthcare. Causal AI is a powerful tool that can be used to improve decision-making across many industries.

Social media spreads lies faster than truth. AI creates realistic fakes like images, videos, and celebrity voices. Text-to-image and text-to-speech AI raise ethical concerns. AI can be used to create dangerous content that is difficult to detect. We need to consider ethics in AI development and use.

The pandemic exposed weaknesses in global supply chains. AI, while promising, wasn't a magic bullet. Data fragmentation between different parts of the supply chain limited AI's effectiveness. Sharing data is crucial but faces competition hurdles. AI can still help companies navigate disruptions and make better decisions.

AI is improving supply chain forecasting by going beyond correlations to identify causal relationships. This allows for better predictions and decisions, reducing stockouts and disruptions. Causal AI uses data science to understand why things happen, not just that they happen together. This is a more powerful approach for complex systems like supply chains.

Data is king in business today. Companies use automation to process data and make decisions. Intelligent automation (IA) is a new kind of automation that uses AI and machine learning to handle complex tasks. IA can improve efficiency, reduce costs, and provide better customer service. While RPA automates repetitive tasks, IA uses AI to make decisions and solve problems. In the future, IA will become even more sophisticated with the use of Autonomous Decision Science. Businesses that adopt IA will be better positioned to compete in today's marketplace.

This article discusses a new problem with large language models (LLMs) like Bard: AI hallucination, where the LLM generates incorrect but seemingly believable information. Experts say this is dangerous because it can spread misinformation. People can limit AI hallucination by carefully phrasing their prompts, giving the AI relevant data, and instructing it on its role. However, some argue users shouldn't have to fact-check AI outputs, and developers need to find better solutions. Large tech companies say AI needs regulation, but regulation struggles to keep pace with technology.

This article explores the risks of Artificial General Intelligence (AGI), a superintelligence that could potentially destroy humanity. Experts warn of AGI causing accidental harm or intentionally wiping out humans. While some believe AGI is unlikely, others advocate for regulation to control its development. The article concludes that caution is needed, but AI has potential benefits.