Category: Fundamentals

  • From One-Shot Answers to Autonomous Workflows: Six Stages of AI

    From One-Shot Answers to Autonomous Workflows: Six Stages of AI

    The 30-second briefing

    AI used to answer individual questions. It can increasingly carry out whole workflows. What changed is not just the quality of the answer: AI can now access knowledge, use software tools, plan a sequence of steps and work towards an outcome.

    Why it matters: Businesses should stop asking only “How can staff use AI?” and start asking “Which parts of our workflows can AI reliably complete?”

    The important distinction: More capability does not automatically justify more independence. Permissions and oversight still matter.

    One task. Six shifts in capability.

    Prompt → Dialogue → Knowledge → Tools → Plan → Outcome

    At each stage, more of the steps between an instruction and a completed task can be performed by AI.

    In our guide to the six SAE levels of self-driving cars, each level showed how more of the driving task could pass from human to machine. AI presents a similar question for knowledge work: how much of the task can software now carry through itself? Unlike SAE driving levels, the six AI stages below are a WiBrief teaching framework, not an official standard.

    The six stages: from prompt to completed workflow

    01 — Answer

    A single prompt produces a response. Human work: ask, assess, copy, act and initiate the next prompt.

    Client proposal example: “Write an introduction to a client proposal.”

    02 — Converse

    The assistant carries context across a discussion, clarifies requirements and improves an answer over several turns. Human work: steer the conversation and execute the task.

    Client proposal example: “Ask me about the client, then refine the introduction.”

    03 — Retrieve

    The assistant searches connected sources to ground its work in documents, facts and precedents. Human work: verify evidence and apply the result.

    Client proposal example: “Find relevant previous fee proposals and use them as references.”

    04 — Use tools

    The system can call approved software functions, APIs and integrations, potentially via MCP. It can take specific actions rather than only recommend them. Human work: specify tasks, grant access and review consequential actions.

    Client proposal example: “Retrieve approved records from SharePoint and create a working draft.”

    05 — Plan and coordinate

    Given a goal, an agent can select and sequence multiple tools, inspect results and revise its plan when something fails. Human work: define objectives, constraints and exceptions.

    Client proposal example: “Search precedents, draft the proposal, check pricing rules and flag missing details.”

    06 — Complete workflows

    Within pre-agreed scope, an agent or collection of agents can run a workflow from request to defined outcome, including monitoring progress and escalating exceptions. Human work: set policy, approve high-impact decisions and supervise outcomes.

    Client proposal example: “Prepare the proposal package, route it for approval and finish the internal workflow.”

    The change in one picture

    In the early stages: Human → AI answer → Human completes the work.

    In the middle: Human → AI uses knowledge and tools → Human reviews progress.

    At the advanced stages: Human sets goal and boundaries → AI plans and executes steps → Human supervises outcomes and exceptions.

    This is a functional progression, not a strict historical timeline: conversation, retrieval and tool-use capabilities overlap, and autonomy depends on the system’s design and permissions.

    What actually made this possible?

    Model capability improved reasoning and instruction-following; longer context and retrieval helped systems work with relevant information; tool calling and MCP-style connections opened access to software; and agent architectures added loops for planning, acting, observing and correcting. None of these alone guarantees reliable autonomy.

    What UK research says

    The UK government’s AI Insights: Agentic AI, updated in August 2026, explains how language-model capabilities combine with agent architectures to enable systems to select and coordinate actions. The March 2026 consumer research frames the shift as moving from tools that support user decisions towards agents potentially entrusted with outcomes.

    The UK’s AI Security Institute examined more than 1,000 publicly available MCP servers and reported increasing levels of autonomy among newly published finance-related tool interfaces across part of 2025. That is evidence about tooling and permissions, not proof that all deployed agents perform reliably.

    The National Cyber Security Centre advised in May 2026 that organisations should start with tightly bounded, low-risk uses, maintain visibility and retain clear human responsibility. Its 20 October 2026 research problem book update asks how semi-autonomous cyber systems can be evaluated and assured.

    On 9 October 2026 the Local Government Association published a playbook for agentic AI, stressing proportional governance, workforce adaptation and service redesign. On 12 October, the UK government outlined work preparing for serious incidents involving autonomous AI agents. The ICO’s guidance roadmap also identifies agentic AI as a dedicated subject.

    The executive decision

    Take one process with a clear input and outcome. Count how many steps currently require a human. Identify which steps AI can perform safely today, which need approval, and which are not ready for delegation. Measure completed outcomes, not impressive demonstrations.

    The destination is not a smarter chatbot. It is a dependable system capable of completing useful work.

    Research and further reading

    Editorial note: This six-stage framework is an explanatory model developed for WiBrief. It should not be confused with a regulatory classification or a validated capability benchmark. Sources checked 22 October 2026.


    Explore related WiBrief research

    Explore how these autonomy levels translate into real-world decision processes in the Autonomy and AI research hub. Experience the trade-offs directly in the interactive Autonomy Atlas.

  • AI | FinTech – Forget scorecards and turn your credit scoring into a money-making machine [VIDEO]

    AI | FinTech – Forget scorecards and turn your credit scoring into a money-making machine [VIDEO]


    WiredBrief are delighted to bring to you an exciting presentation from the second edition of AI Waves, which looks at Nextbanks AI driven FinTech credit scoring solution

    About this event

    Krzysztof Kogutkiewicz – CEO at NextBank discusses AI and Credit Scoring

    Exciting developments in Artificial intelligence (AI) are explored by AI Waves during their second instalment: “Forget scorecards and turn your credit scoring into a money-making machine”, which looks at AIs application within FinTech.

    This keynote focuses on NextBanks highly sophisticated credit scoring solution which helps solve traditional problems experienced in banking, relating to credit score transparency and maintenance. The use of AI within credit scoring has allowed large amounts of data to be used to determine specific actions / factors that affect credit user scores. These factors are then used to automatically create credit scoring models, which enable more proactive decisions to be taken by both banks and private users alike.

    Host
    Anna Gawlikowska – AI Waves

    Speaker
    Krzysztof Kogutkiewicz – CEO at NextBank

     Key Takeaways

    • The team’s algorithm predicted loan repayments, with a predictive accuracy of 97%.
    • Banks and private users can use NextBank’s solution to not just predict the likelihood of loan repayments, but to also highlight the specific factors that cause increases and decreases to credit score.
    • The implications of NextBank’s solution mean that loan pre – approvals can be automated by defining a cut off criteria that approves high probability applicants whilst referring riskier ones for manual review.
    • Banking teams can also use NextBank’s solution to pro-actively reach out to individuals with higher repayment predictive scores to offer lucrative loan terms before loan applications are made.

    Machine learning Models used by NextBank:

    • Linear regression
    • LightGBM
    • XGboost

    Result metrics used by NextBank.

    • ROC
    • F1 Score (Precision and Recall)

    The following topics were covered:

    • What is Credit scoring 5:38
    • How does traditional Credit scoring work? 6:07
    • Credit scoring – What are the challenges? : Hard to interpret and reactive 7:16
    • What if credit scoring could return probability of return of a given loan they are applying for? Allows automating threshold acceptance. Only allow 80% success loan applications else manually review. 12:12
    • Show how a given factor affects a final result (ie credit history, private lending, demographics etc): 13:15
    • Can we create a system that can process 1000s of data points? 15:00
    • Can we create a pro active system that can recommend good burrowers?: 16:00
    • How was the AI system trained and what data sets were used?  18:00
    • What models were used? 20:33
    • Model goal? 22:15
    • Nextbank Credit Scoring solution and results 24:36
    • Questions: 29:00

    Interested in learning more about AI / Machine learning Services?

    Checkout: Miquido

    Miquido technology consultancy logo
    Build world-class digital products with a team of design, development and strategy experts. All in one place.

    Continue exploring

    Financial scoring systems offer a useful case study in automated decision-making. Explore the governance and human agency implications in the Autonomy and AI research hub, and investigate decision authority in the interactive Autonomy Atlas.

  • 2021 UK Drone Ownership – The Law and Best Practice Tips

    2021 UK Drone Ownership – The Law and Best Practice Tips

    Important: historical guidance (2021). Drone regulations and registration requirements have changed since this article was published, including changes in 2026. Do not rely on the rules below to plan a flight today. Check the current UK Civil Aviation Authority Drone and Model Aircraft Code for up-to-date safety and legal requirements.

    Someone has just very generously gifted you a Drone and you are excited to try it out. You and the Drone are both charged and ready to venture out on your first test flight to the smooth backdrop of Sinatra.

    Teeming with ideas you step outside. Suddenly however, you remember, that actually, you don’t really know anything about flying Drones. In the UK, their use is also highly regulated. Sinatra fades away into the sunset as reality slowly dawns in.

    As the affordability and sales of drones have gone up, so have concerns about their safety. A history of near misses and various accidents (involving aeroplanes and stadiums) have helped bring rising drone ownership to the spotlight. Unfortunately, the underlying law behind their use hasn’t been as popular.

    It’s important to know and understand your legal obligations. Having to undertake all of the research yourself however, might appear daunting, but our team at WiredBrief have taken the trouble of doing all of the legwork for for you.

    What We’ll cover

    Our breakdown of the fundamentals of Drone Ownership in the UK which also includes best practice tips for safe responsible flight, will help you quickly understand your main legal obligations. We’ll particularly be focusing on the 2021 UK drone laws (introduced 31st December 2020), and your duties under the Civilian Aviation Authority (CAA) Air Navigation Order (ANO) 2016 and the Drone code. Whether you’re a commercial or recreational user, it’s going to be important to remember that because of the new changes, the rules and regulations are the same for everyone.

    Drone Usage and affordability – Private v Commercial use

    Drones can be bought easily and cheaply both online and on the high street. They can be affordably priced and range from as low as £100 – £10000, depending on your uses and reasons for buying one. Drones can be fun and used for recreation. Alternatively, they can also have a large range of more practical, commercial business uses. You can observe some of these in the below contexts:

    The issue with Drone ownership; turbulent start and near misses

    Unfortunately, whilst obtaining a Drone might be relatively straightforward, flying one legally and safely is far more tricky. Recently, Drone owners have seen a spate of accidents, that have involved collisions and near misses with commercial airlines. As a result, the need for ensuring greater public safety has led to calls for stricter measures, ensuring Drone operators exercise sufficient caution.

    Drones being operated at high altitudes (typically over a 1000 feet), or close to airfields have been a big part of the problem. The UK AirProxBoard, who collect statistics in this area reported how in 2018 drone incidents rose by more than a third. These numbers have fallen since, possibly due to tighter regulation, but they are still above the expected range. The 2020 COVID pandemic has also meant more grounded commercial airline operations, resulting in fewer sightings.

    Small Unmanned Air System (SUAS) Assessment visualisation by the UK Airprox Board. Drone accidents peaked in 2018, but have been falling since. Possible contributing factors include greater regulation and the recent 2020 Corona Virus pandemic. To download the full report: Click Here

    Some of the most common reasons for Drone accidents and some safety precautions which you could take are outlined below:

    • Lack of Flight Training
      Solution: If you have never flown a Drone before then its important as a new user, you try to increase your understanding of Drones before going outside. Reading your Drone owners manual, watching YouTube videos and practicing are all things you can do to make your flying safer.
    • No pre – flight Check up
      Drone operators, should always do a pre flight check up, to reduce the likelihood of in air emergencies. It’s important to check things like 1.) Battery power and 2.) calibration, secure battery placement and RC antennae signal connection.
    • Flying in Poor weather
      This one goes without saying, but ALWAYS make sure weather conditions are suitable for your planned flight. Strong winds can knock your Drone out of the air, as well as rain and Ice which can cause irreparable internal and external damage to your craft!

    The Law

    The Civilian Aviation Authority (CAA) Air Navigation Order (ANO) 2016 is the main legislation governing aircrafts, including drones, in the UK. This has now been amended by the Air Navigation (Amendment) Order 2020, which attempts to streamline drone law to make the system more understandable – guidance to the updates are provided by the CAA here. The main provision you’ll need to be aware of from the ANO is Article 241 (concerning endangering the safety of any person or property). This applies to every aviation activity at all times and sets out that:

    “[a] person must not recklessly or negligently cause or permit an aircraft to endanger any person or property”.

    Before 31st December 2020, it also used to be important for the purposes of determining whether you needed a licence, to also know whether the purpose of a drone flight was commercial or non – commercial. However, this has since changed and the new focus looks at the risk that each flight represents. The greater the risk, the more rigorous the requirements will be for training and certifications. Whilst a summary of your key obligations can be found within the Drone Code here, we’ve summarised some of the key information below.

    The main risk factors that are used in the updated regulations to determine how risk is categorised and which registration requirements are needed are outlined below:

    How the updated regulations determine risk

    ImageRisk FactorsDescription
    WeightOf your drone (including accessories)
    People Proximity from peopleHow close the drone will fly near (‘uninvolved people’) people not directly involved with the flight
    Proximity from citiesHow close the drone will fly near built up areas (e.g towns, cities, industrial areas, recreational areas etc.)

    Drone operations will typically fall into one of three categories as follows: 

    The three new categories of Drone operations

    RiskCategoryDescriptionCAA Application required?
    LowOpen Category
    • Low (or no) risk to third parties. Has 3 Sub categories that have different restrictions in place regarding craft, qualifications and distance. Most uses fall within this.
    No – Operations can be carried out in accordance with basic pre-defined characteristics and not subject to further authorisation requirements from CAA
    MediumSpecific Category– Greater risk than Open category, or
    – one or more elements of the operation fall outside the boundaries of the Open category.
    Yes – Operational authorisation required from the CAA, based on a safety risk assessment.
    HighCertified Category – equivalent risk to that of manned aviation, resulting in operations falling under similar regulatory regime (i.e., certification of the aircraft, certification of the operator, licensing of the pilot)
    Examples include:
    – Passenger / transportation dangerous goods
    Yes – Equivalent requirements to manned aviation.
    See also The Drone and Model Aircraft Code


    Most uses will typically now fall under the open category and as of 31st December 2020, those who fall into this category will be able to do the following:

    Summary of where most Drone uses fall

    What about Insurance?

    Insurance is optional if you’re flying a drone under 20kg for recreation. However, you should remember that you’re responsible for your actions, which means you could be held personally liable for any injury or damage you cause while you’re flying. If your flight is for any reason other than recreation, you do need insurance. EC785/2004 compliant insurance is still required for commercial operations in both the Open and Specific categories.

    Please not that it is against the law to fly a drone or model aircraft without having the required IDs. You can also be fined for breaking the law when flying. In the most serious cases, you could be sent to prison.

    ID Registration prices

    Drone registration prices
    If you already have an operator ID and just need a flyer ID, you’ll need to add your flyer ID in the My registration area

    Strict Liability on the ground – Relaxed in the air

    Last but not least, we look at the question of Liability for Drone operators. This predominantly concerns the question of where the accident has taken place. For example, section 76 of the CAA applies strict owner or operator liability for surface damage, caused by an aircraft. This can include injury to an individual or damage to property. If you are the Drone owner or operator then you would automatically be at fault for any loss or injury.

    Unless there is contributory negligence to be alleged, the victim would be entitled compensation. Their mission would be to identify and pursue a case against you as the Drone operator. A common challenge however is finding the address of the offender and ensuring they have sufficient insurance / assets.

    In the event of an air-to-air incident, the established principle is not to apportion blame on a strict liability basis. Each incident will thus dealt with case by case and the necessary elements of fault will need to be proven.

    Drones and AI – The next frontier

    Now you know the fundamentals of Drone usage and law in the UK we hope you will join us for our next article. There, we will be examining the technologies next evolution, brought about by combining Drones with artificial intelligence in commercial contexts.

    As we move away from the need to have human operators at the helm of drone flights, we stand to benefit from greater efficiency and more complex Drone uses that can benefit future society. Unlike humans, Drones powered by AI will be able to work all year round without breaks, and in stressful environments without requiring sick days. This paves the way for many commercial opportunities, alongside potential risks. An assessment of both will be important as it will help us understand the future and fundamentally, any social effects brought about by these developments.

    Getting started toolkit:


    Article Takeaways:

    • The Civilian Aviation Authority (CAA) Air Navigation Order (ANO) 2016 govern Drone law in the UK
    • As of 31st December 2020, the same rules apply for both commercial and non commercial users.
    • Most uses fall within the Open category, but the higher the risk posed to the general public the more likely your use will fall outside of the open category. If you have any doubts, it’s important that you do your research and understand your obligations.
    • A full summary of all of the latest regulatory updates to UK drone law can be found here: Click Here
    • EC785/2004 compliant insurance is required for commercial operations in both the Open and Specific categories
    • The UK Government has removed the minimum age requirement for remote pilots operating in the Open and Specific categories. The competency requirements however are unchanged.
    • Under the ANO you must not recklessly or negligently cause or allow a Drone to endanger any person or property
    • Strict liability applies for Drone to surface damage but for Air to Air the courts will look for fault.
  • Blockchain E – Salon: What’s all the hype around Blockchain about? [VIDEO]

    Blockchain E – Salon: What’s all the hype around Blockchain about? [VIDEO]

    WiredBrief are delighted to bring to you another exciting panel event hosted by Legal Hackers MCR, which looks into Blockchain and what the hype is all about.

    About this Event:

    Are you tired of seeing generic news articles about Blockchain that just talk about it in terms of Bitcoin and daily price fluctuations?

    Blockchain and decentralised ledger technology have many uses that extend past digital currencies. Their ability to create a secure trust-less, permissioned ledger is just one example of a feature, that will make the technology a crucial hallmark of the connected world and Internet of things (IOT).

    If you are looking to expand your knowledge of Blockchain and better understand its place in our connected digital future, then come to the Manchester Legal Hackers E Salon where they’ll be finding out what the fuss is all about!

    Host:

    Xuening Qu – Legal Technologist at DWF

    Co – Host:

    Abigail Holt – Barrister at Garden Court Chambers

    Event Co – Ordinator:

    Geofrey Banzi – Legal Technologist at KPMG

    Panellists

    Adi Ben-Ari

    Founder & CEO at Applied Blockchain

    Adi has over 20 years enterprise software experience, more recently leading major deliveries of production blockchain and advanced cryptography solutions. Adi is widely recognised as an independent thought leader in the industry, a noted speaker at major conferences, experienced in educating C-suite on blockchain, confidential computing and privacy-preserving technologies, and acts as an advisor for a number of startups.

    His work has been noted by the UK Government, where he was invited to present at Parliament and the House of Lords, and at University College London. Adi has contributed to the recent work of the Law Society on Blockchain, Legal and Regulatory Guidance. He has co-invented and designed a number of patents related to confidential computing, advanced cryptography, blockchain and mobile payments.

    Will Foulkes

    Senior Solicitor & Head of Blockchain at Stephenson Law Will is an experienced solicitor and specialist in distributed ledger technologies, digital assets and smart contracts, advising on multi-jurisdictional regulatory compliance and strategy for token-related fundraising. Will is an engaging and informative speaker on blockchain and has worked with the Law Commission’s Digital Asset and Smart Contract team on a number of key projects.

    Jay Smith

    Legal Engineer at Stephenson Law

    Jay advises on legaltech, operations and blockchain at Stephenson Law, a key challenger in the legal industry, with a forward-thinking approach of how law firms should operate and embrace new technologies. Jay’s expertise and consultancy fuses design and tech with an expert understanding of law.

    Andy Gray

    Co-founder of KnownOrigin Labs and BlockRocket.tech

    Founder, Blockchain Manchester

    Andy builds blockchain products and solutions, developing decentralised applications (Dapps) with Solidity smart contracts and Web 3.0 tech, and with over 20 years commercial experience developing enterprise IT systems. Andy’s recent projects include the creation of a tokenised customer loyalty platform and experiments with crypto-collectibles for BrewDog and KnownOrigin.io, a digital art marketplace. Andy will speak about crypto-collectibles, blockchain art and proof of provenance.

    The following questions were answered:

    – Can you explain what blockchain is all about in three sentences? 9.16

    – The primary value of blockchain is the fact it’s so secure. However, there must be potential breaches in blockchain, can you describe how potential breaches are dealt with? 10.56

    – What do you see as the most interesting and evolving trends in distributed ledger technology? 16.53

    – Fungible, non fungible… what does it mean? 21.59

    – Some people say that the blockchain revolution hasn’t happened yet, and most of the existing blockchain applications can be achieved through normal cloud based applications. What do you say to that? 23.59

    – What does the internet of things mean? 29.58

    – Could you give us examples of existing blockchain projects, including some you’ve worked on? 32.10

    – Who do I go to to design a system in regards blockchain? 36.14

    – Adoption of technology often lags the creation of the technology. Legal regulation can often lag behind that! One of the challenges for blockchain is that it will be dotted all over the world, which brings into question legal jurisdictions. What are your thoughts on the regulation of blockchain and how that can be done practically? 41.16

    – Can you explain what mining is? Why does it use so much electricity, and why does it pose a risk to climate change? 45.35

    – Can you explain the practical differences and challenges proposed by proof of work versus proof of stake? 49.48

    – When governments start accepting crypto as payment for taxes, that will be a tipping. How close do you think we are to this? 51.27

    – How do see the system being regulated, or do you think it will it regulate itself? 58.55

    –  Can the regulation keep up with the technology? 1.01.31

  • AN INTRODUCTION TO BLOCKCHAIN AND CRYPTO ASSETS [VIDEO]

    AN INTRODUCTION TO BLOCKCHAIN AND CRYPTO ASSETS [VIDEO]

    WiredBrief are excited to bring to you an exciting event hosted by Legal Hackers MCR, which looks at Blockchain and its applications to the real world.

    About this Event

    Have you ever wondered how Blockchain could transform the world and how companies are using its transformative power to bring about social change?

    The consequences of the recent COVID-19 pandemic have allowed Blockchain to quickly rise in prominence over the past year to become one of the most prolific technologies on the market in 2021, but little is still known about it.

    Blockchain technology however, has the power to transform millions of our lives for the better but until recently, it has only been a buzz-word and the subject of market speculation. Recent disruptions to our status quo however, have forced difficult questions of not just how we could begin rebuilding our society and financial institutions, but which tools we could start using to do this.

    Join Legal Hackers MCR

    Join Legal Hackers MCR on the 4th of February as they introduce Will Foulkes, Head of Blockchain at Stephenson Law, who will be bringing you closer to the exciting world of Blockchain.

    During his talk he will help demystify key aspects of the disruptive technology, including its uses and applications and he will also be available to take some of your questions at the end.

    If you enjoy this event and want to take an even further deep dive, we’ll also be hosting an exciting panel event on the 18th of February. This will include a number of leading specialists from the area, who will be able to give you even more insight and also answer some of your more probing questions. Stay tuned!

    What will be covered:

    1. HOW BLOCKCHAIN WORKS

    2. WHY BLOCKCHAIN HAS THE CAPACITY TO MASSIVELY DISRUPT INDUSTRY

    3. INSIGHT INTO SOME LEADING PROJECTS AND PRODUCTS IN THIS SPACE

    Keynote Speaker:

    Will Foulkes – Head of Blockchain at Stephenson Law

    LinkedIn

    Host:

    Xuening Qu – Legal Technologist at DWF

    Co – Host:

    Lisa McCLory – Legal Knowledge Director at Fractal Legal

    For more events like this visit Legal Hackers MCR on:

    LinkedIn

    Twitter

    Website

  • DOES YOUR AI PASS THE EUROPEAN COMMISSION RISK-ASSESSMENT FRAMEWORK?

    DOES YOUR AI PASS THE EUROPEAN COMMISSION RISK-ASSESSMENT FRAMEWORK?

    THE EUROPEAN COMMISSION RISK-ASSESSMENT – SAFEGUARDING KEY HUMAN RIGHTS AND FREEDOMS.

    The European commission has delivered a new framework for trustworthy Artificial Intelligence (AI) that can be accessed online. The new Risk-Assessment Framework importantly puts a practical spin on the Commissions earlier previously published guidelines . This brief covers the main aspects of the European Commission’s framework, outlining its key features whilst also bringing in some analysis from recent developments.

    In developing the new Risk-Assessment Framework, the European Commission have emphasised the importance of observing an AI’s overall impact on core human rights. The main elements of the Risk-Assessment framework explores this further by covering core rights, such as those relating to non-discrimination, protection of personal data and freedom of expression.

    The main areas covered by the new Risk-Assessment framework include:

    (A) Human Agency and oversight
    (B) Technical Robustness and Safety
    (C) Privacy and Data Governance
    (D) Transparency
    (E) Diversity
    (F) Societal and Environmental well being

    (G) Accountability

    EXAMINING THE EUROPEAN COMMISSION FRAMEWORK

    (B) Human Agency and oversight

    This part of the Risk-Assessment Framework covers whether the system might create over-reliance in users, or illegitimately manipulate users’ behaviour. Whilst AI won’t be capable of making ‘human’ errors, it will however still be fallible to both manufacturing and design errors, as well as ‘machine errors’, fuelled by the algorithmic system itself. This presents clear problems in areas where AI, might be used to substitute human agency in its entirety. An example of this being, stage 5-6 of self-driving cars, where the AI algorithm is said to have complete control without driver interference (for more information see SAEs 5 Stages of Automation and our previous post on self-driving car fundamentals).

    (A) Technical Robustness and Safety

    This covers the subject of security, including resilience to cyber-attacks, general safety as well as the potentially devastating effects of inaccuracy and unreliability.

    (C) Privacy and Data Governance

    This aspect questions the impact of the AI system on the rights to privacy, the right to physical, mental or moral integrity and the right to data protection, and what mechanisms are in place to minimise potential harm and deal with concerns. 

    (C) Transparency

    This covers the traceability of decisions and how, why and where data has been used. An issue with this aspect arises when looking at self-driving car “Black-boxes”, which generate specialist outputs or decisions that cannot readily be explained to users.

    (D) Diversity, Non-discrimination and fairness (AI ETHICS)

    This part of the Risk-Assessment Framework is particularly concerned with the AI designers of today, who have been spearheading recent developments. Recent events have highlighted the importance of avoiding discrimination of all forms more than ever and even more so in the context of algorithmic bias. This was recently highlighted in a recent Ted talk by the president of the Law Society ‘The Future is Biased’ , Christina Blacklwas.

    AI systems should avoid unfair bias and its important that designers not only have a diverse end user in mind, but as an employment group, are also adequately represented by a diverse class of people. Ultimately, the end system should be fair regardless of age, gender, race or other characteristics.

    (E) Societal and Environmental well being

    Naturally, as with the development of any new complex system designed to help humanity, any potential and actual adverse impacts to society and the environment should be limited, as far as possible. More-so, as we are so inextricably linked to both. Whilst its true, that initially adoption of AI in many instances has the potential to impact large areas of employment, leading to job-losses as a result of large-scale automation. This is a foreseeable result that should be accounted for in governmental contingency plans with ready measures to counter any negative effects. Ultimately and most importantly, the overall benefits to society, should outweigh any negative impact predicted to arise.

    (F) Accountability

    Last, but most importantly, its going to be crucial that any AI system developed going forwards has a system of accountability for when unjust or unfair outcomes do occur. This should also ensure an adequate system of redress. In the UK for example, this can thankfully be seen with the ‘Automated and Electric Vehicles Act 2018’ which provides the system of redress for self-driving cars under a single insurance scheme. For more details, see Driverless cars Insurance laws receive Royal assent

    Conclusion

    Now that we have a checklist and Risk-Assessment framework put in place for assessing the suitability of present and future AI systems, what remains to be seen is how developers and employers of AI systems will choose to implement its philosophy going forwards. Nonetheless, it’s certain that the principles are a great first step that works towards helping end users benefit from AI equally, without being exposed to unnecessary risk.

    Stay tuned for more great content


    Continue exploring

    This article reflects an earlier stage of Europe’s AI governance debate. Compare those ideas with today’s questions about delegated authority in our Autonomy and AI research hub, and investigate decision authority in the interactive Autonomy Atlas.

  • The 6 Stages of Autonomous Driving Explained (SAE Levels)

    The 6 Stages of Autonomous Driving Explained (SAE Levels)

    A Brief introduction

    Fasten your seatbelts and get ready to explore the fascinating world of self-driving cars! The Society of Automotive Engineers (SAE) has defined six distinct levels of automation, each representing a milestone on the road to a driverless future. Let’s take a closer look at what these levels mean for you and the future of transportation.

    Icon–Description
    Diagram introducing the six SAE levels of driving automation0No Automation: This is the familiar territory of most cars on the road today. You’re the captain of your ship, making all the decisions, from turning the steering wheel to hitting the brakes. While your car might have some helpful features like lane departure warnings or automatic emergency braking, you’re still the one in charge.
    Diagram illustrating Level 0 driving automation, where the human driver retains control1Driver Assistance: At Level 1, your car begins to offer a helping hand. Technologies like adaptive cruise control, which maintains a safe distance from the vehicle ahead, or lane-keeping assist, which gently nudges you back into your lane, provide limited assistance. However, you remain fully responsible for the vehicle’s operation and must stay alert and engaged.
    Diagram illustrating Level 1 driver assistance with human responsibility2Partial Automation: Level 2 takes automation a step further, allowing the car to control both steering and acceleration/deceleration simultaneously. Tesla’s Autopilot and Cadillac’s Super Cruise are prime examples of this level. While these systems offer enhanced convenience and safety, the driver must remain attentive and ready to take over at any moment.
    Diagram illustrating Level 2 partial driving automation and required driver attention3Conditional Automation: This is where the magic of true self-driving begins. Level 3 vehicles can perform all driving tasks under certain conditions, such as on well-marked highways or in low-speed traffic. You can relax and let the car do the work, but you must be prepared to take control when the system requests it. Honda’s Legend, available in Japan, is the first commercially available Level 3 car.
    Diagram illustrating Level 3 conditional driving automation and human takeover4High Automation: Imagine a car that can navigate busy city streets, drop you off at your destination, and then find a parking spot all on its own. Level 4 vehicles can handle most driving tasks in specific environments, like geo-fenced areas or under favorable weather conditions. Waymo’s self-driving taxis, operating in select cities, exemplify this level of autonomy.
    Diagram illustrating Level 4 high automation in defined driving conditions5Full Automation: This is the ultimate goal of the self-driving revolution. Level 5 vehicles are fully autonomous, capable of navigating any road, in any weather, without any human intervention. They won’t even have steering wheels or pedals. While this technology is still under development, companies like Cruise and Argo AI are actively working on bringing it to reality (What could possible go wrong?).
    The Six stages of automation Diagram

    The UK’s Autonomous Journey

    The UK is at the forefront of the self-driving revolution, with the government actively supporting the development and testing of autonomous vehicles. The Automated Vehicles Act, passed in 2024, establishes a legal framework for the safe deployment of self-driving cars on UK roads. This includes provisions for insurance, liability, and safety standards.

    Companies like Wayve and Oxa1 are conducting trials of self-driving vehicles in London and Oxford, paving the way for a future where autonomous taxis and delivery vehicles could become commonplace. However, public acceptance remains a key challenge, with concerns about safety and job displacement.

    The Road Ahead

    The journey toward fully autonomous vehicles is fraught with challenges, including technical hurdles, regulatory issues, and public acceptance. However, the potential benefits are immense, from increased safety and reduced traffic congestion to improved mobility for the elderly and disabled.

    By understanding the six levels of automation, you can better appreciate the progress that has been made and the exciting possibilities that lie ahead. Whether you’re an early adopter or a cautious observer, the future of transportation is undeniably autonomous. The UK’s proactive approach to legislation and ongoing trials positions it as a leader in this transformative technology, with the potential to revolutionize how we travel and interact with our cities.

    1. https://www.bbc.co.uk/news/uk-england-oxfordshire-67890403#:~:text=The%20test%20car%20travelled%20around,vehicle%20to%20be%20self%2Ddriving. ↩︎

    Explore related WiBrief research

    Autonomous driving laid the groundwork for today’s questions about AI agents. Explore the wider framework in our Autonomy and AI research hub. Experience the trade-offs directly in the interactive Autonomy Atlas.