Humanity faces equal threat from AI as it does from nuclear war and pandemics, says a statement signed by industry leaders. The development of AI could increase the risk of extinction and recent improvements in AI algorithms have raised concern among experts.
OpenAI and its CEO Sam Altman discussed their views and opinions in front of the Senate on Tuesday on the ongoing concern about Artificial Intelligence (AI). OpenAI is responsible for the development of ChatGPT, a conversational chatbot as well as other AI solutions. Altman acknowledges the positive potential of AI but underscored the need for responsible regulations to oversee its development and implementation. At the hearing, Sen. Richard Blumenthal highlighted the danger of AI misused for malicious activities. To prevent such outcomes, Altman proposed licensed tests before release and ethical development of AI tools. OpenAI is committed to developing AI with human-centered objectives.
At US Senate Judiciary Committee, Sam Altman, CEO of OpenAI-developer of ChatGPT-spoke about potential AI risks. AI tech has power to cause 'significant harm' to humanity. With AI development akin to invention of printing press, an unregulated arms race could cause great damage. Hinton, Musk, Wozniak have warned of AI implications. Automation of jobs is seen as a threat, but Altman said that new jobs will come with tech advancement. AI is a worrying threat and needs regulated by ruling class.
OpenAI, co-founded by entrepreneur and philanthropist Sam Altman, is dedicated to developing Artificial General Intelligence (AGI) safely for the benefit of humanity. Since 2016, Altman and his team have worked relentlessly to make AI accessible and useful for the world. Their passion to resolve global issues and make the world a better place has been a lasting inspiration.
A recent study published by the National Bureau of Economic Research found OpenAI's GPT, a large language model and the foundation of ChatGPT, increased the productivity of Philippine contact center agents by 13.8%. It surveyed customer satisfaction, call efficiency and resolution rate. It additionally found highest productivity improvement (35%) observed among least experienced agents. These results could have ethical implications such as need for compensation for data given to AI by high-skill workers.
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