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How to Design a Responsible Generative AI Strategy

How to Design a Responsible Generative AI Strategy

As organisations integrate generative AI into their workflows, establishing a responsible strategy becomes crucial. From marketing to finance, various sectors are exploring specific applications of this technology through testing and pilot projects to discover the best ways to implement and scale it.

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Responsible AI Development

Responsible AI Development

The rapid advancement of Generative Artificial Intelligence (GAI) has brought with it a series of ethical and security issues, prompting companies such as OpenAI and Google to work towards its responsible development. One of the most prominent issues is the potential for generative AI to produce false or misleading content, which could have serious consequences for misinformation and the manipulation of public opinion. Moreover, there are concerns about privacy and the misuse of personal data, as well as potential discrimination and bias in AI algorithms. These concerns have led AI leaders to implement ethical principles and governance programmes to ensure that AI is developed and used in an ethical and secure manner.

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Limitations of generative AI

Limitations of generative AI

In recent years, generative AI has revolutionized various sectors. Especially with the arrival of ChatGPT . However, despite its numerous advantages, it is necessary to use it with caution due to its limitations.

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AI revolutionizes Gmail. Everything Gemini offers to your email

AI revolutionizes Gmail. Everything Gemini offers to your email

Artificial intelligence is slowly transforming our everyday tools, and Gmail is no exception. Google has begun integrating its advanced AI, Gemini , into several of its platforms, with Gmail being one of the services where it is investing the most in these innovations.

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Google goes for ChatGPT, the new version of Gemini already responds 50% faster

Google goes for ChatGPT, the new version of Gemini already responds 50% faster

Since ChatGPT burst onto the market, big tech companies have started to get their act together to compete with this phenomenon. Within a few weeks, Google launched its generative AI , currently known as Gemini, and has since been trying to get close to OpenAI's generative AI and even surpass it.

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