Generative AI

• Generative AI is a type of artificial intelligence that involves creating new, original content or data using machine learning algorithms. It can be used to generate text, images, music, or other types of media. ChatGPT, DALL-E 2, and Bing AI are some of the popular examples of Generative AI tools.
• Generative AI works by training a model on a large dataset and then using that model to generate new, previously unseen content that is similar to the training data.
• This can be done through techniques such as neural machine translation, image generation, and music generation.

Significance of generative AI

• Generative AI has the potential to revolutionise many industries by automating the creation of content and enabling the generation of new ideas and concepts.
• It has the potential to enable efficiency and productivity across multiple industries and applications at scale.

Concerns around AI use

• It raises ethical concerns about the potential for biassed or inaccurate content to be generated and disseminated.
• If not designed and developed responsibly with appropriate safeguards, Generative AI can create harm and adversely impact society through misuse, perpetuating biases, exclusion, and discrimination.
• Generative AI systems can create content for malicious purposes, such as deep fakes, disinformation, and propaganda. It can also generate offensive or inappropriate content.
• Nefarious actors may use AI- generated media to manipulate people and influence public opinion. These systems can potentially access sensitive information, raising concerns about data privacy and security.
• It may also produce low-quality and less accurate information, specifically in the context of complex engineering and medical diagnosis.
• It can be challenging to determine who is responsible for the content generated by a generative AI system — the acquisition and consent model around the training data and intellectual property issues make it difficult to hold anyone accountable for any harm resulting from its use.

Way Forward

• We must add rigor and responsibility to developing AI technology, enforce ethical guidelines, conduct regular audits for fairness, identify and address biases, and protect privacy and security.
• It is essential to carefully consider the potential harms, threats, and concerns of Generative AI systems and ensure that they are used responsibly and ethically.
• We must add adequate policy, regulation, awareness, and education guardrails to develop and use Generative AI services ethically and responsibly.