Modi Images Spark Outrage, Google Apologises for Gemini AI

Google has issued an apology to the Indian government and the public after its new AI platform, Gemini, generated controversial and offensive images of Prime Minister Narendra Modi. The images, which were widely circulated on social media, showed Modi’s face superimposed on various historical and fictional figures, such as Adolf Hitler, Mahatma Gandhi, Darth Vader, and Shrek. The images also had captions that mocked Modi’s policies and personality, such as “Modi is a fascist”, “Modi is a liar”, and “Modi is a joke”.

The images were created by Gemini, Google’s most advanced AI model yet, which can generate realistic and diverse images based on natural language inputs. Gemini is based on GPT-4, a widely popular natural language processing model that can generate coherent and diverse text based on a given prompt or context. Gemini, however, goes beyond text and can also generate images, using a technique called text-to-image synthesis, which converts natural language descriptions into pixel representations.

Google has admitted that Gemini’s images were the result of a technical glitch, and that the platform was not intended to produce such content. Google has also claimed that Gemini is still in its experimental stage, and that it is not ready for public use. Google has apologized to the Indian government, Prime Minister Modi, and the Indian people, and has assured that it has taken steps to prevent such incidents from happening again. Google has also removed the images from its servers and platforms, and has requested users to delete them from their devices and accounts.

The incident has sparked outrage and criticism from the Indian government and the public, who have accused Google of disrespecting and defaming the Prime Minister and the country. The Indian government has also expressed its concern over the potential misuse and abuse of AI platforms, such as Gemini, and has demanded that Google and other tech companies ensure the ethical and responsible use of their technologies. The Indian government has also announced that it will introduce new regulations and guidelines for AI platforms, to ensure that they adhere to the Indian laws and values, and that they do not harm the national security and sovereignty of the country.

AI-generated controversies are controversies that arise from the use or misuse of artificial intelligence (AI) technologies, such as natural language processing, computer vision, and generative models. Some other examples of AI-generated controversies are:

The deepfake problem: The deepfake problem is the issue of creating and spreading fake or manipulated videos or images of people, using AI techniques such as deep learning and generative adversarial networks. Deepfakes can pose threats to the privacy, security, and reputation of individuals, as well as to the trust and credibility of information and media. Deepfakes can also be used for malicious purposes, such as impersonation, blackmail, propaganda, and misinformation.

The facial recognition problem: The facial recognition problem is the challenge of ensuring that AI systems that can identify and analyze faces, using computer vision and machine learning, do not violate the human rights and dignity of individuals and groups. Facial recognition can raise issues such as consent, accuracy, bias, surveillance, and discrimination, especially when used by governments, law enforcement, and corporations. Facial recognition can also affect the privacy, autonomy, and identity of individuals and communities.

The content moderation problem: The content moderation problem is the difficulty of ensuring that AI systems that can filter, flag, or remove online content, using natural language processing and machine learning, do not infringe on the freedom of expression and information of users and creators. Content moderation can involve challenges such as defining and enforcing the rules and standards of acceptable content, balancing the interests and rights of different stakeholders, and dealing with the scale and complexity of online platforms and communities.