FC7PO1Nl MSc Project Brain Computer Interface Social Acceptance and use of it as Forensic Tool in Nepal. 2021 Spring Student Name: Shrijendra Shakya London Met ID: 20049502 College ID: NP01MS7S210024 Assignment Due Date:20th Nov 2022 Assignment Submission Date: 20th Nov 2022 Word Count (Where Required):894 I confirm that I understand my coursework needs to be submitted online via Google Classroom under the relevant module page before the deadline in order for my assignment to be accepted and marked. I am fully aware that late submissions will be treated as non-submission and a mark of zero will be awarded. Nature of the Problem There has been an increasing number of Brain-Computer Interfaces (BCIs) being developed in medical and nonmedical fields. The BCIs are being used in marketing, gaming and entertainment industries. They carry a great potential to improve and enhance the quality of human lives. Many companies are also trying to develop a BCI brain implant that is capable to control external devices like computer, mobile, robotic arm. These BCI applications are, however, not without risk. The established engineering practices set guarantees on performance, reliability and physical safety of BCIs. But there are challenges relating to its social acceptability in Nepal – standardization (guarantees or standards are currently in place regarding user privacy and security), usability and legal issues. Brain computer interfaces (BCI) enabled devices can be exposed to the hackers and someone can hack those BCI enabled devices and do malfunctioning causing the damaging consequences. We don’t have any policy and adequate laws to protect user’s privacy and protection. Additionally, there are many unsolved sophisticated crimes in Nepal. We can use the BCI technology devices as a tool in forensic investigation. By searching the memories in the suspects’ brains for any crime-relevant information, a subject can be determined to be innocent or guilty in case the classic evidences are not always available in all crime scenes like fingerprint, DNA, digital evidence. We don’t yet have any policy and law for admissibility of such evidence obtained from BCI enabled devices and acceptance of it as a forensic tool. 1 Aims and Objectives The aims and objectives of the chosen thesis topics are as under: 1. 2. 3. 4. 5. 6. To learn about BCI and various developments on this sector? To present the report of the status of BCI Literacy in Nepal? To present the Emerging Threats to Security and Privacy in Brain Computer Interface? To present the applications of BCI are most relevant for criminal investigation purpose? To present the feasibility of applying BCIs during criminal investigation in Nepal? To present the simulation prototype of guilty knowledge test that uses the event related potential (ERP) response? 7. To present some of the legal challenges confronting the effective use of BCI including freedom of privacy, freedom of thought and liability issues and admissibility of BCI produced evidence in Supreme Court of Nepal. 2 Rationale BCI enabled devices is the future. BCI technology holds the potential to change fundamentally the relationship between the individual’s internal and subconscious self and the outside world and it implies unique and unprecedented threats (Council of Europe, Doc. 15147 24 September 2020). The CIA triangle to guide information security policies will also kick in for security of Neural devices “Neurosecurity” (Bioethica Forum / 2015 / Volume 8 / No. 2). The technology will also be slowly adopted in Nepal. Technology is advancing faster than the law. BCIs allow users to control devices without moving their bodies. The users imagine certain things, and the BCIs read the neural activity and operate the output device accordingly. Users who affect the world using BCIs do not perform any conduct, so when they commit crimes using BCIs, how we will prove them guilty? The traditional law doesn’t incorporate such crimes. Neurotechnology and BCIs may have particular potential in the field of criminal and judicial proceedings and we need to incorporate in our Nepal Law as current law becomes inadequate. Additionally, neurobiological research done in forensic technology has found Event related potential can provide important information about the human memory content. One can use ERP signals to extract crime related information’s from the suspect. The ERP can be used as a forensic tool to solve a sophisticated crime.(IEEE Xplore DOI :10.1109/ISMA.2008.4648820) This highlights the importance of using BCI as a forensic tool. This, looking ahead for the future prospective inspired me to go ahead with this thesis. 3 Methodology: Relevant literatures relating to the subject matter will be reviewed. The literatures will be sought in academic research databases namely Science Direct, IEEE Xplore and ResearchGate. Furthermore, the Google search engine will be used to search for documents and Webpages that contained relevant references for the study and research regarding BCI. The primary data will be collected by survey regarding status of BCI literacy in Nepal devising questionaries, selecting focus groups. There will be simulation done between a group of people for a crime that happened and the simulated suspect takes a guilty knowledge test (GKT) based on Farwell & Dunchin (Donchin, 1991) GKT that uses the event related potential (ERP) response, brain response to a specific stimulus, as an indication if a suspect is guilty or innocent. The EEG signal at the subject’s scalp is Simulated & recorded. Signal analysis is applied to the recorded electric signal in order to determine if the crime related information is of significant to the suspect or not. If the information is proven to be significant, the suspect is classified as guilty This thesis will adopt the paradigm that was developed by Farwell and Dunchin as previously described and will consists of the following: 1. 2. 3. 4. Subjects (the participants) Procedure (GKT) The Testing Environment (Simulated) Data Collection (Simulated EEG Recording) The simulated signals will be processed and will undergo extraction and classification and run through various algorithms. The National Penal (Code) Act, 2017 will also be studied on in regards to BCI related crimes with discussion with lawyers. 4 Project Plan 5