Last updated: September 2026 · Reviewed by the Punjab Assignment Help IT and ethics team · Reading time: 11 minutes
Quick answer: ENG101 Assessment 3, the Final Analytical Portfolio (45%), has two parts. Part A is an 8-minute video case analysis (20%) and Part B is an 1,800-word written synthesis report (25%). Both evaluate how NeoBank uses AI, blockchain, IoT, AR/VR, quantum computing, human augmentation and green tech. Your analysis must be organised around the ELSI framework (Ethical, Legal, Social Implications). High Distinction answers link every technology to a specific NeoBank risk and a specific stakeholder impact.
ENG101 Assessment 3 key facts
| Item | Detail |
|---|---|
| Assessment | Assessment 3: Final Analytical Portfolio (weight 45%, due Week 13) |
| Part A | Video case analysis, 8 minutes, 20% |
| Part B | Written synthesis report, 1,800 words ±10% (1,620–1,980), 25% |
| Case | NeoBank: digital transformation in banking |
| Framework | ELSI (Ethical, Legal, Social Implications) |
| Referencing | APA 7th edition, 6–10 credible academic sources |
| AI use | Allowed for brainstorming, clarifying concepts, grammar and study notes. Not allowed for generating the submitted answers |
The NeoBank case in one table
Before you script or write anything, map each technology to its purpose and its main ELSI risk. This table can double as a slide in your video.
| Technology | NeoBank use | Key ELSI issue to discuss |
|---|---|---|
| AI | Fraud detection, automated credit scoring, virtual assistants | Algorithmic bias in lending, explainability of declined loans, accountability |
| Blockchain | Transparent transactions, digital identity | Immutability vs the right to correct personal data, energy use |
| IoT and human augmentation | Biometric authentication, wearables | Biometric data is sensitive information, consent, exclusion of people who cannot use biometrics |
| AR/VR | Immersive customer engagement, staff training | Accessibility, data collected by headsets, digital divide |
| Quantum computing (exploratory) | Risk modelling, encryption | "Harvest now, decrypt later" threat, post-quantum cryptography |
| Green tech | Energy-efficient data centres | Greenwashing risk, measuring AI's carbon footprint honestly |
| Cybersecurity | Protecting all of the above | Liability for breaches, trust, regulatory reporting duties |
Part A: 8-minute video plan (answer hints)
| Time | Segment | What to show |
|---|---|---|
| 0:00–0:45 | Hook and overview | NeoBank's three strategic objectives (efficiency and security, customer experience, sustainability) on one slide |
| 0:45–3:00 | Technologies explained | One infographic per technology in plain English: "what it is → what NeoBank does with it" |
| 3:00–5:30 | ELSI analysis | A 3-column ELSI matrix covering bias, privacy, inclusion and human augmentation |
| 5:30–7:15 | Critical evaluation | Benefits vs risks, sustainability, accessibility, with a traffic-light risk rating |
| 7:15–8:00 | Recommendations | 3–4 actions, such as bias audits, human review of declined loans and non-biometric login options |
Tips for the "Communication" and "Visuals" criteria: talk to a non-technical audience, so explain blockchain as "a shared ledger that nobody can secretly edit". Use no more than 30 words per slide, put your face on camera in the introduction and conclusion, and record in a quiet room with a clip-on microphone. Keep to the 8 minutes.
Part B: 1,800-word report structure
| Section | Words | Answer hint |
|---|---|---|
| Introduction | 150 | Define the Fourth Industrial Revolution (the fusion of digital, physical and biological systems) and why banks sit at its centre. |
| Historical development of AI | 200 | Timeline: 1950s Turing and early AI → 1980s rule-based expert systems for credit decisions → 2000s machine-learning fraud detection → 2010s chatbots and robo-advice → 2022 onwards generative AI. |
| Types of AI | 200 | Narrow AI (fraud models, credit scoring: what banks use today), General AI (hypothetical, human-level reasoning), Generative AI (virtual assistants, document summarisation). Give one NeoBank example for each. |
| Emerging technologies | 300 | Cover all seven and link each to NeoBank. Depth beats description. |
| ELSI analysis | 350 | This is the highest-value section. Use sub-headings for Ethical, Legal and Social. |
| Application and evaluation | 250 | Organisational impact (efficiency, sustainability, security) vs individual impact (experience, inclusion, trust). |
| Cybersecurity | 150 | Risks such as deepfake voice fraud, API attacks and ransomware. Mitigations include MFA, zero trust, encryption and incident response. |
| Future trends | 100 | Sustainable banking, immersive branches, wider biometric and wearable adoption. |
| Conclusion | 100 | Three key insights and one clear overall judgement. |
ELSI analysis hints (the section that decides your grade)
Ethical
- Bias and fairness: credit models trained on historical data can reproduce past discrimination, for example against women, migrants or postcodes. Suggest fairness testing and diverse training data.
- Transparency and explainability: customers refused a loan should get a reason they can understand. Link this to "explainable AI" (XAI).
- Accountability: who is responsible when an autonomous system makes a wrong decision, the bank, the vendor or the developer? Argue for human-in-the-loop review of high-impact decisions.
Legal (Australian examples you can adapt)
- Privacy Act 1988 and the Australian Privacy Principles: biometric templates are "sensitive information" and need consent. The 2024 privacy amendments add transparency obligations for automated decisions.
- APRA prudential standards: CPS 234 (information security) and CPS 230 (operational risk, including third-party AI and cloud vendors).
- Australia's AI Ethics Principles and the Voluntary AI Safety Standard as governance benchmarks. If you are outside Australia, compare with the EU AI Act, which classes credit scoring as "high-risk".
Social
- Employment and skills: automation of back-office and call-centre roles, and the reskilling duty that follows.
- Digital and financial inclusion: elderly, rural, low-income and disabled customers may be excluded by app-only or biometric-only services.
- Trust: a single AI failure or data breach can damage trust across the sector.
- Human augmentation: wearables and implants raise questions about bodily autonomy, surveillance and consent.
Pro tip for High Distinction: do not stop at listing risks. For each issue use Issue → Evidence → NeoBank impact → Mitigation. For example: "Algorithmic bias (issue) has been documented in credit models (cite study); for NeoBank this threatens fair lending and reputation (impact); quarterly bias audits and human review of declines reduce it (mitigation)."
Suggested source types (6–10 needed)
- Peer-reviewed journals on AI in finance, algorithmic fairness and FinTech ethics (Google Scholar, filtered to the last 5 years)
- Reports from APRA, the OAIC, the Reserve Bank of Australia, the BIS or the OECD on AI in financial services
- The World Economic Forum on the Fourth Industrial Revolution
- Case evidence from real banks' annual or sustainability reports (e.g., green data centre commitments)
Before you submit
- ☐ Video is no longer than 8 minutes, audio is clear and slides are readable
- ☐ Every technology is linked to NeoBank, not described generically
- ☐ ELSI covers bias, privacy, inclusion, sustainability and human augmentation
- ☐ Report is 1,620–1,980 words, with 6–10 APA 7 sources
- ☐ Any AI use is limited to permitted purposes and acknowledged
Need help planning your NeoBank video or ELSI analysis?
Our tutors can review your video script, check your ELSI matrix and proofread your 1,800-word report for structure and APA 7 referencing.
WhatsApp "NeoBank" for a free ELSI matrix template Get a free quote
ENG101 Assessment 3 answer hints and NeoBank case study analysis example
Searching for ENG101 Assessment 3 answers or a NeoBank case study solution? The video must be your own recording and the report must be your own writing, and the brief does not allow AI-generated responses, so there is nothing to copy. What wins marks is the right analysis pattern: the technology-to-ELSI table, the 8-minute video timeline, the 1,800-word section plan and the Issue → Evidence → NeoBank impact → Mitigation formula above.
Answer-hint recap: link all seven technologies to NeoBank, use Ethical, Legal and Social sub-headings, cite Australian law and APRA standards where relevant, balance organisational and individual impacts, and finish with clear recommendations.
Where can I find ENG101 Assessment 3 answers?
There is no official answer sheet, and AI-generated responses are not allowed. Use the NeoBank ELSI table, video plan and report structure on this page as your guide. Our tutors can review your script and draft report.
What is an example of ELSI analysis for NeoBank?
Take AI credit scoring. Ethical: risk of bias against certain groups. Legal: privacy law and transparency duties for automated decisions. Social: lower trust and exclusion of customers who are refused without explanation. Mitigation: bias audits and human review.
How do I structure the NeoBank video case analysis?
Spend about 45 seconds on the overview, 2 minutes on the technologies, 2.5 minutes on ELSI, 1.75 minutes on evaluation and 45 seconds on recommendations, keeping to 8 minutes in total.
Frequently asked questions
What is the ELSI framework?
ELSI stands for Ethical, Legal and Social Implications. It is a structured way to evaluate new technology. In ENG101 you apply it to NeoBank's AI and emerging technologies, covering bias, accountability, privacy law, liability, employment, inclusion and trust.
What is the difference between narrow, general and generative AI?
Narrow AI performs one task, such as fraud detection. General AI would match human reasoning across tasks and does not yet exist. Generative AI creates new content such as text or images and powers modern virtual assistants.
How long is the ENG101 Assessment 3 report?
1,800 words with a ±10% tolerance, so 1,620 to 1,980 words, not counting references.
Can I use ChatGPT for ENG101 Assessment 3?
Only for permitted learning support such as brainstorming, clarifying concepts, improving grammar and making study notes, and it must be acknowledged. AI must not generate the responses you submit.
Which technologies must be covered?
AI, blockchain, IoT, quantum computing, AR/VR, human augmentation, green technology and cybersecurity, each linked to the NeoBank case.
Related help
Academic integrity note: this is a study guide with hints and structure only. Write and record your own analysis and follow your institution's AI and integrity policies.