Google has made an important decision that may impact how we categorize AI-created content ownership when introducing changes to their Terms of Service. Thus, Google has stopped any further legal claim to the authorial privilege of articles that were composed by its Google-powered AI services. Finally, we hear the good news whatever is created by users with the content of Google’s Generative AI platforms is not violated because Google claims ownership of it.
But there’s a catch. Yet Google is not pretending that their software will not be subjected to false data and distorted by manipulation, they just think that the users will be fair enough. They’ve made it clear during the past two months that users should not turn this exact content creation process into one of the weapons, such as phishing, making fake accounts, spreading fake reviews, and misleading their fellow online users by saying that this content was made by humans. Generally, google here asks users not to use the content to deceive others but tries to ask them to use the content credibly.
As a result, Google users will find these changes in their inboxes when they receive emails updating users of the imminent changes around May 22. They are moving the terms around their Generative AI to their principal Terms of Service and giving more information on what behaviors pitch them against their respective policies. Such deeds may include, e.g., spamming, hacking, or getting around Google’s systems and protective measures (including those that will protect your identity and data).
In other words, Google tries to prevent abuse of their services such as spam, misinformation, hate speeches, and other misuses. They make sure that sex abusers cannot misuse their malware or mess with their systems by taking certain precautions. The tech giant is also telling the parents to take the reins over their kid’s online activity on Google services as part of this revamp move they believe the parents should know exactly how it will affect their children’s experience in the platform.
All in all, the core purpose of these changes is that the applications of AI in the services Google provides must be done consequently and in a morally acceptable way. Then, Google does not assign copyright of generated AI content to users, which ends up in more freedom as users also understand what diverse uses AI content should be put to. The initiative will build the way to more flawless and fairer AI-generated content ownership.
AI vs. AI: Will Good Artificial Intelligence Be Our Cyber Savior?
In the ongoing battle against cyber threats, a new player has emerged: generative AI. This new technology, spearheaded by firms like OpenAI, can potentially become the first step towards completely realistic text and voice-based content creation. Reading aid and translation are the early applications of this technology. However, the practical use of this technology is hampered because of the risk of misuse. Tech giants like Google & Microsoft announced such cautions to the public.
Modern AI generative tools, built on top of the latest Large Language Models (LLM), can be compared to a ‘double-edged’ sword. On the other hand, they provide new ways of doing business and assisting customers. However, they are used by threat actors for creating fake phishing messages, malware, and deepfakes as well.
In the course of this recognition, AI that can revolutionize defense technology is coming up. Nvidia’s CEO Jensen Huang illustrates that AI, with its capability to process data, facilitates effective cybersecurity allowing for the detection and elimination of cyber threats.
The boundary between consumers and enterprise technology gets increasingly disparate as generative AI becomes available to everyone. These tools ranging from Google Gemini to Microsoft’s Copilot are readily accessible to both individuals and businesses, thus stressing the significance of community defenses for cyber threats.
The latest example of this is Cisco’s Hypershield tool which has demonstrated partnering among technology companies in a quest to protect data across multiple domains. Nvidia partnership helps Cisco to amplify its products that are meant for both data centers as well as critical systems such as medical devices and industrial equipment.
Yet, the very application of AI-powered systems also brings forth some new difficulties. A much-simplified task, text-to-image and text-to-voice generation tools available on smartphones and PCs give malevolent actors more sophisticated tools of subterfuge and the ability to misinform.
The outbreak of generative AI has reduced the behavioral barrier for cyber adversaries allowing them to make, manage, and launch more massive and syndicated cyber attacks. Security analysts warn that the speed and complexity of cyber-attacks keep increasing while suggesting that options should involve the usage of AI-based defense mechanisms.
The corporates like CloudStrike have experienced criminals firing with AI-generative tools to be able to orchestrate attacks. Some malevolent people have broken into OpenAi and used the platforms for bad purposes; this has shown the importance of preventive steps taken against exploitation.
AI-based adaptive threat detection and predictive analysis are among the areas that the cybersecurity industry addresses to be able to cope with these adversities. Microsoft’s Copilot for Security and Check Point Software’s Infinity AI Copilot are among the solutions that enhance security teams’ abilities by harnessing generative AI in threat detection and response systems.
Collaboration between various countries including India is focused on skill-building in cybersecurity and developing AI-based defenses against cyber threats as a goal of this initiative. The investment in educational programs and the establishment of innovation centers are key components in the efforts to support security experts in the acquisition of tools and knowledge required to safeguard digital assets.
Hereinafter, AI adoption for cybersecurity is a perfect strategy to enhance cyber defense capabilities due to emerging cyber threats. By adopting innovative technological solutions and promoting collaboration, we will be more equipped to tackle the intensifying societal challenges triggered by cyber-attacks.
AI and Elections: Will Bots Sway Voters? Meta Takes Caution in India
Meta which owns Facebook and Instagram has lately launched its AI chatbot named “Meta AI” just for experimenting in India across WhatsApp, Instagram, and Messenger platforms. Nevertheless, as India approaches its general election, Meta has attempted to limit the scope of fruitful inquiry within the chatbot’s responses. This decision is an example of Meta taking the initiative towards the monitoring of the generative AI services during the peak of electoral contests.
During the trial phase, Meta has revealed it blocked certain election-related sentences within the chatbot’s answers. Besides that, the company is trying to perfect the AI response system so that it produces better and situationally relevant answers. Meta says like other systems using AI, Meta AI also is not able to get the preferred response every time. But Meta makes periodic improvements and releases new versions of the AI algorithm to improve its complexity.
It appears Meta uses the blocking technique for questions related to elections. When a user queries about a particular politician, candidate, or other related term then Meta AI directs them to the election commission’s portal for more knowledge. This measure is intended for the disruption of transmission and circulation of untrue or unsuitable information during the election campaign.
However, Meta usually does not deny individual responses if the query is searchers using party names. Nevertheless, if a request has people’s names or other special terms, a user might face redirection to the Election Commission’s website instead of getting any replies from the chatbot directly.
While Meta has been working hard to eliminate inconsistencies in Meta AI’s answers, such problems have been observed. For example, when questioned about “Indi Alliance” which is a political opposition group, the chatbot responded by containing a politician’s name. Yet, on a different line of query, that politician was not given out by the chatbot.
While Meta AI was presented in 15 countries around the world last Thursday, India was skipped at the beginning of the launch. But the bot is being tested in India currently and Meta is also seeking to learn from the users and taking their feedback into account. Like several other AI business products and features, Meta also implements this type of public testing in phases and targets consumers to perfect and enhance the chatbot’s performance.
Indeed, Meta‘s restrictive response approach to election queries in the Indian context points to its proactive measures meant to ensure the responsible use of AI, especially so in the event of electoral processes. The platform tries to guide the users to recognized sources for information when designing the AI-fuelled technologies to detropmize fake news dissemination and to provide a safer online atmosphere for people that comply with the standards.
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