Centre Proposes New Bills for Criminal Law
Introduction
Criminal justice in India is majorly governed by three laws which are – Indian Penal Code, Criminal Procedure Code and Indian Evidence Act. The centre, on 11th August 2023’ Friday, proposes a new bill in parliament Friday, which is replacing the country’s major criminal laws, i.e. Indian Penal Code, Criminal Procedure Code and Indian Evidence Act.
The following three bills are being proposed to replace major criminal laws in the country:
- The Bharatiya Nyaya Sanhita Bill, 2023 to replace Indian Penal Code 1860.
- The Bharatiya Nagrik Suraksha Sanhita Bill, 2023, to replace The Code Of Criminal Procedure, 1973.
- The Bharatiya Sakshya Bill, 2023, to replace The Indian Evidence Act 1872.
Cyber law-oriented view of the new shift in criminal lawNotable changes:Bharatiya Nyaya Sanhita Bill, 2023 Indian Penal Code 1860.
Way ahead for digitalisation
The new laws aim to enhance the utilisation of digital services in court systems, it facilitates online registration of FIR, Online filing of the charge sheet, serving summons in electronic mode, trial and proceedings in electronic mode etc. The new bills also allow the virtual appearance of witnesses, accused, experts, and victims in some instances. This shift will lead to the adoption of technology in courts and all courts to be computerised in the upcoming time.
Enhanced recognition of electronic records
With the change in lifestyle in terms of the digital sphere, significance is given to recognising electronic records as equal to paper records.
Conclusion
The criminal laws of the country play a significant role in establishing law & order and providing justice. The criminal laws of India were the old laws existing under British rule. There have been several amendments to criminal laws to deal with the growing crimes and new aspects. However, there was a need for well-established criminal laws which are in accordance with the present era. The step of the legislature by centralising all criminal laws in their new form and introducing three bills is a good approach which will ultimately strengthen the criminal justice system in India, and it will also facilitate the use of technology in the court system.
Related Blogs
Executive Summary:
A viral online image claims to show Arvind Kejriwal, Chief Minister of Delhi, welcoming Elon Musk during his visit to India to discuss Delhi’s administrative policies. However, the CyberPeace Research Team has confirmed that the image is a deep fake, created using AI technology. The assertion that Elon Musk visited India to discuss Delhi’s administrative policies is false and misleading.
Claim
A viral image claims that Arvind Kejriwal welcomed Elon Musk during his visit to India to discuss Delhi’s administrative policies.
Fact Check:
Upon receiving the viral posts, we conducted a reverse image search using InVid Reverse Image searching tool. The search traced the image back to different unrelated sources featuring both Arvind Kejriwal and Elon Musk, but none of the sources depicted them together or involved any such event. The viral image displayed visible inconsistencies, such as lighting disparities and unnatural blending, which prompted further investigation.
Using advanced AI detection tools like TrueMedia.org and Hive AI Detection tool, we analyzed the image. The analysis confirmed with 97.5% confidence that the image was a deepfake. The tools identified “substantial evidence of manipulation,” particularly in the merging of facial features and the alignment of clothes and background, which were artificially generated.
Moreover, a review of official statements and credible reports revealed no record of Elon Musk visiting India to discuss Delhi’s administrative policies. Neither Arvind Kejriwal’s office nor Tesla or SpaceX made any announcement regarding such an event, further debunking the viral claim.
Conclusion:
The viral image claiming that Arvind Kejriwal welcomed Elon Musk during his visit to India to discuss Delhi’s administrative policies is a deep fake. Tools like Reverse Image search and AI detection confirm the image’s manipulation through AI technology. Additionally, there is no supporting evidence from any credible sources. The CyberPeace Research Team confirms the claim is false and misleading.
- Claim: Arvind Kejriwal welcomed Elon Musk to India to discuss Delhi’s administrative policies, viral on social media.
- Claimed on: Facebook and X(Formerly Twitter)
- Fact Check: False & Misleading
Executive Summary:
A recent claim going around on social media that a child created sand sculptures of cricket legend Mahendra Singh Dhoni, has been proven false by the CyberPeace Research Team. The team discovered that the images were actually produced using an AI tool. Evident from the unusual details like extra fingers and unnatural characteristics in the sculptures, the Research Team discerned the likelihood of artificial creation. This suspicion was further substantiated by AI detection tools. This incident underscores the need to fact-check information before posting, as misinformation can quickly go viral on social media. It is advised everyone to carefully assess content to stop the spread of false information.
Claims:
The claim is that the photographs published on social media show sand sculptures of cricketer Mahendra Singh Dhoni made by a child.
Fact Check:
Upon receiving the posts, we carefully examined the images. The collage of 4 pictures has many anomalies which are the clear sign of AI generated images.
In the first image the left hand of the sand sculpture has 6 fingers and in the word INDIA, ‘A’ is not properly aligned i.e not in the same line as other letters. In the second image, the finger of the boy is missing and the sand sculpture has 4 fingers in its front foot and has 3 legs. In the third image the slipper of the boy is not visible whereas some part of the slipper is visible, and in the fourth image the hand of the boy is not looking like a hand. These are some of the major discrepancies clearly visible in the images.
We then checked using an AI Image detection tool named ‘Hive’ image detection, Hive detected the image as 100.0% AI generated.
We then checked it in another AI image detection named ContentAtScale AI image detection, and it found to be 98% AI generated.
From this we concluded that the Image is AI generated and has no connection with the claim made in the viral social media posts. We have also previously debunked AI Generated artwork of sand sculpture of Indian Cricketer Virat Kohli which had the same types of anomalies as those seen in this case.
Conclusion:
Taking into consideration the distortions spotted in the images and the result of AI detection tools, it can be concluded that the claim of the pictures representing the child's sand sculptures of cricketer Mahendra Singh Dhoni is false. The pictures are created with Artificial Intelligence. It is important to check and authenticate the content before posting it to social media websites.
- Claim: The frame of pictures shared on social media contains child's sand sculptures of cricket player Mahendra Singh Dhoni.
- Claimed on: X (formerly known as Twitter), Instagram, Facebook, YouTube
- Fact Check: Fake & Misleading
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Introduction
Misinformation is a major issue in the AI age, exacerbated by the broad adoption of AI technologies. The misuse of deepfakes, bots, and content-generating algorithms have made it simpler for bad actors to propagate misinformation on a large scale. These technologies are capable of creating manipulative audio/video content, propagate political propaganda, defame individuals, or incite societal unrest. AI-powered bots may flood internet platforms with false information, swaying public opinion in subtle ways. The spread of misinformation endangers democracy, public health, and social order. It has the potential to affect voter sentiments, erode faith in the election process, and even spark violence. Addressing misinformation includes expanding digital literacy, strengthening platform detection capabilities, incorporating regulatory checks, and removing incorrect information.
AI's Role in Misinformation Creation
AI's growth in its capabilities to generate content have grown exponentially in recent years. Legitimate uses or purposes of AI many-a-times take a backseat and result in the exploitation of content that already exists on the internet. One of the main examples of misinformation flooding the internet is when AI-powered bots flood social media platforms with fake news at a scale and speed that makes it impossible for humans to track and figure out whether the same is true or false.
The netizens in India are greatly influenced by viral content on social media. AI-generated misinformation can have particularly negative consequences. Being literate in the traditional sense of the word does not automatically guarantee one the ability to parse through the nuances of social media content authenticity and impact. Literacy, be it social media literacy or internet literacy, is under attack and one of the main contributors to this is the rampant rise of AI-generated misinformation. Some of the most common examples of misinformation that can be found are related to elections, public health, and communal issues. These issues have one common factor that connects them, which is that they evoke strong emotions in people and as such can go viral very quickly and influence social behaviour, to the extent that they may lead to social unrest, political instability and even violence. Such developments lead to public mistrust in the authorities and institutions, which is dangerous in any economy, but even more so in a country like India which is home to a very large population comprising a diverse range of identity groups.
Misinformation and Gen AI
Generative AI (GAI) is a powerful tool that allows individuals to create massive amounts of realistic-seeming content, including imitating real people's voices and creating photos and videos that are indistinguishable from reality. Advanced deepfake technology blurs the line between authentic and fake. However, when used smartly, GAI is also capable of providing a greater number of content consumers with trustworthy information, counteracting misinformation.
Generative AI (GAI) is a technology that has entered the realm of autonomous content production and language creation, which is linked to the issue of misinformation. It is often difficult to determine if content originates from humans or machines and if we can trust what we read, see, or hear. This has led to media users becoming more confused about their relationship with media platforms and content and highlighted the need for a change in traditional journalistic principles.
We have seen a number of different examples of GAI in action in recent times, from fully AI-generated fake news websites to fake Joe Biden robocalls telling the Democrats in the U.S. not to vote. The consequences of such content and the impact it could have on life as we know it are almost too vast to even comprehend at present. If our ability to identify reality is quickly fading, how will we make critical decisions or navigate the digital landscape safely? As such, the safe and ethical use and applications of this technology needs to be a top global priority.
Challenges for Policymakers
AI's ability to generate anonymous content makes it difficult to hold perpetrators accountable due to the massive amount of data generated. The decentralised nature of the internet further complicates regulation efforts, as misinformation can spread across multiple platforms and jurisdictions. Balancing the need to protect the freedom of speech and expression with the need to combat misinformation is a challenge. Over-regulation could stifle legitimate discourse, while under-regulation could allow misinformation to propagate unchecked. India's multilingual population adds more layers to already-complex issue, as AI-generated misinformation is tailored to different languages and cultural contexts, making it harder to detect and counter. Therefore, developing strategies catering to the multilingual population is necessary.
Potential Solutions
To effectively combat AI-generated misinformation in India, an approach that is multi-faceted and multi-dimensional is essential. Some potential solutions are as follows:
- Developing a framework that is specific in its application to address AI-generated content. It should include stricter penalties for the originator and spreader and dissemination of fake content in proportionality to its consequences. The framework should establish clear and concise guidelines for social media platforms to ensure that proactive measures are taken to detect and remove AI-generated misinformation.
- Investing in tools that are driven by AI for customised detection and flagging of misinformation in real time. This can help in identifying deepfakes, manipulated images, and other forms of AI-generated content.
- The primary aim should be to encourage different collaborations between tech companies, cyber security orgnisations, academic institutions and government agencies to develop solutions for combating misinformation.
- Digital literacy programs will empower individuals by training them to evaluate online content. Educational programs in schools and communities teach critical thinking and media literacy skills, enabling individuals to better discern between real and fake content.
Conclusion
AI-generated misinformation presents a significant threat to India, and it is safe to say that the risks posed are at scale with the rapid rate at which the nation is developing technologically. As the country moves towards greater digital literacy and unprecedented mobile technology adoption, one must be cognizant of the fact that even a single piece of misinformation can quickly and deeply reach and influence a large portion of the population. Indian policymakers need to rise to the challenge of AI-generated misinformation and counteract it by developing comprehensive strategies that not only focus on regulation and technological innovation but also encourage public education. AI technologies are misused by bad actors to create hyper-realistic fake content including deepfakes and fabricated news stories, which can be extremely hard to distinguish from the truth. The battle against misinformation is complex and ongoing, but by developing and deploying the right policies, tools, digital defense frameworks and other mechanisms, we can navigate these challenges and safeguard the online information landscape.
References:
- https://economictimes.indiatimes.com/news/how-to/how-ai-powered-tools-deepfakes-pose-a-misinformation-challenge-for-internet-users/articleshow/98770592.cms?from=mdr
- https://www.dw.com/en/india-ai-driven-political-messaging-raises-ethical-dilemma/a-69172400
- https://pure.rug.nl/ws/portalfiles/portal/975865684/proceedings.pdf#page=62
