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How Gen AI Opens a Whole New World for Dyslexic Individuals

Boris Krumrey, Global VP of Automations at UiPath

Growing up in 1970s West Berlin, I experienced a lack of attention from primary school teachers who were not equipped to address special needs for dyslexic children. While teachers were somewhat aware of conditions like dyslexia, they lacked the necessary training to support students like me. I vividly remember the disheartening moments of reading aloud, as other children would complain about my struggles, with the teachers choosing not to intervene. Writing assignments was even more demoralising, as the teacher looked at me with disappointment, regardless of the pressure I faced, as my spelling and handwriting showed no improvement.

Living with dyslexia can pose significant challenges in reading and writing, making self-expression daunting. However, new tools and technological developments are presenting exciting opportunities for workers who are neurodiverse or are living with learning difficulties.

Any traumatic experiences faced by dyslexic individuals often lead to deep disbelief in one’s abilities. Often simple tests such as identifying a series of numbers or words can frustrate people and even lead to misdiagnosis or failure to receive new opportunities. However, a new horizon of possibilities has emerged with the advent of generative artificial intelligence (Gen AI). Thanks to the content writing capabilities, data analysis and automation, Gen AI is poised to be an ideal tool for dyslexic individuals, empowering them to overcome writing obstacles and unlock their full creative potential.

Understanding the use cases

Gen AI can act as an important catalyst for a business on its automation journey, unlocking the door to a wealth of new opportunities. Technology, such as AI, can seem intimidating at first, but taking the first step to an intelligently automated business truly can improve efficiency and workplace experience dramatically for individuals.

Of course, before implementing AI solutions, it is important to understand the exact use cases and where they can be applied for many tasks. Looking first at enhancing writing efficiency, generative AI provides invaluable assistance in improving writing efficiency for dyslexic individuals. The technology offers real-time suggestions, corrections, and alternative phrasing as a reliable companion during the writing process. Dyslexic writers can focus on their ideas and thoughts while the AI refines the expression, eliminating the frustration caused by dyslexia-related writing challenges.

Predictive capabilities are perhaps one of the remarkable features of Gen AI. The ability to anticipate words and phrases, often aligning perfectly with the writers’ intentions has proven to be a real game changer. It significantly reduces the time and effort required to produce coherent and correctly written content, enhancing both speed and accuracy in the writing process.

Gen AI understands the unique challenges faced by dyslexic individuals, particularly in terms of visual perception. Dyslexia commonly involves difficulties accurately reading letters or words, resulting in visual confusion. The customisable features of AI can address this, for example, tailoring the text presentation to suit individual needs. It can also make the writing experience more accessible and enjoyable.

This all draws back to the essential principles of boosting confidence and self-expression among workers. The stigma surrounding learning difficulties, such as dyslexia, can negatively impact self-confidence, but Gen AI is the equivalent of a supportive partner, encouraging dyslexic writers to express themselves freely without the fear of judgement or misunderstanding. Providing real-time feedback and assistance instils an important sense of assurance, empowering individuals to embrace their unique voices and share their ideas with the world.

Spotlighting the human impact and AI limitations

The ways in which Gen AI can overhaul work should not be conflated with a testament to the decline of human intelligence and value in the workplace. In fact, it is quite the opposite. Workers with learning disabilities often let self-doubt block potential due to mistakes that they do not see among the wider pool of workers. This idea of being ‘other’ can distance workers for the wrong reasons. If AI can free workers of tasks that fuel self-doubt, they can apply their specialist skills and stop feeling as though they are being dragged down by perceived weaknesses. Gen AI is bringing out the human value to work more than some individuals might have ever believed.

However, as with every technology and human relationship, it is essential to analyse and limit possible negative impacts. Starting with language formulation, Gen  AI’s predictive capabilities and real-time suggestions can influence the language formulation process. While this can be beneficial for dyslexic individuals who struggle with word recall or spelling, there is a possibility AI’s suggestions may steer the writing towards a more standardised or conventional form. This may inadvertently dilute the writer’s authentic expression, altering their unique style or creative choices.

To mitigate this, AI usage should be selective and applied only to areas of struggle, such as sentence structure and spelling, letting creative flair do the rest. It’s also recommended that teams and dyslexic individuals retain manual reviewing and editing. This ensures they maintain control over the final product, making deliberate choices that align with their authentic voice and personal style.

Authenticity lies in embracing imperfections and unique qualities. Dyslexic learners can celebrate their distinct perspectives, creative approaches, and personal growth throughout their writing journey. Acknowledging and highlighting their individuality can create a genuine connection with their readers which is the core goal of any copy. Once the concerns about authenticity have been addressed, it is key to strike a balance that allows the AI to support and amplify their writing while maintaining the authenticity and genuine expression that make their work truly remarkable.

A powerful AI and human partnership

I once met a friend who struggled with dyslexia but had a talent for working with computers. He helped run his father’s real estate business, but when I asked him why he didn’t study computer science, he explained that his dyslexia made him worry about the amount of time he would have to spend debugging his code due to syntax errors.

As someone who studied computer science, I never fully appreciated the challenge dyslexic individuals face when it comes to coding. Computers are patient and tireless, always correcting mistakes as long as the user persists. However, with Gen AI, coding challenges for people with dyslexia can be immediately filtered out before compilation.

In the future, automation platforms like UiPath will integrate Gen AI into all tools that support intelligent automation for daily knowledge work. Dyslexia will no longer be a barrier to unleashing creativity.

Gen AI emerges as a transformative tool for dyslexic individuals, revolutionising the writing and coding experience. It empowers writers and developers to overcome the barriers imposed by dyslexia and unlock their full creative potential. By providing tailored support, boosting confidence, and facilitating effective communication, Gen AI ensures the written word becomes a playground for self-expression rather than a source of frustration. We should celebrate the union of technology and humanity as dyslexic individuals triumph over their writing challenges and share their remarkable stories with the world.

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Business

Conflicting with compliance: How the finance sector is struggling to implement GenAI

By James Sherlow, Systems Engineering Director, EMEA, for Cequence Security

GenerativeAI has multiple applications in the finance sector from product development to customer relations to marketing and sales. In fact, McKinsey estimates that GenAI has the potential to improve operating profits in the finance sector by between 9-15% and in the banking sector, productivity gains could be between 3-5% of annual revenues. It suggests AI tools could be used to boost customer liaison with AI integrated through APIs to give real-time recommendations either autonomously or via CSRs, to inform decision making and expedite day-to-day tasks for employees, and to decrease risk by monitoring for fraud or elevated instances of risk.

However, McKinsey also warns of inhibitors to adoption in the sector. These include the level of regulation applicable to different processes, which is fairly low with respect to customer relations but high for credit risk scoring, for example, and the data used, some of is in the public domain but some of which comprises personally identifiable information (PII) which is highly sensitive. If these issues can be overcome, the analyst estimates GenAI could more than double the application of expertise to decision making, planning and creative tasks from 25% without to 56%.

Hamstrung by regulations

Clearly the business use cases are there but unlike other sectors, finance is currently being hamstrung by regulations that have yet to catch up with the AI revolution. Unlike in the EU which approved the AI Act in March, the UK has no plans to regulate the technology. Instead, it intends to promote guidelines. The UK Financial Authorities comprising the Bank of England, PRA, and FCA have been canvassing the market on what these should look like since October 2022, publishing the results (FS2/23 – AI and Machine Learning) a year later which showed a strong demand for harmonisation with the likes of the AI Act as well as NIST’s AI Risk Management Framework.

Right now, this means financial providers find themselves in regulatory limbo. If we look at cyber security, for instance, firms are being presented with GenAI-enabled solutions that can assist them with incident detection and response but they’re not able to utilise that functionality because it contravenes compliance requirements. Decision-making processes are a key example as these must be made by a human, tracked and audited and, while the decision-making capabilities of GenAI may be on a par, accountability in remains a grey area. Consequently, many firms are erring on the side of caution and are choosing to deactivate AI functionality within their security solutions.

In fact, a recent EY report found one in five financial services leaders did not think their organisation was well-positioned to take advantage of the potential benefits. Much will depend on how easily the technology can be integrated into existing frameworks, although the GenAI and the Banking on AI: Financial Services Harnesses Generative AI for Security and Service report cautions this may take three to five years. That’s a long time in the world of GenAI, which has already come a long way since it burst on to the market 18 months ago.

Malicious AI

The danger is that while the sector drags its heels, threat actors will show no such qualms and will be quick to capitalise on the technology to launch attacks. FS2/23 makes the point that GenAI could see an increase in money laundering and fraud through the use of deep fakes, for instance, and sophisticated phishing campaigns. We’re still in the learning phase but as the months tick by the expectation is that we can expect to see high-volume self-learning attacks by the end of the year. These will be on an unprecedented scale because GenAI will lower the technological barrier to entry, enabling new threat actors to enter the fray.

Simply blocking attacks will no longer be a sufficient form of defence because GenAI will quickly regroup or pivot the attack automatically without the need to employ additional resource. If we look at how APIs, which are intrinsic to customer services and open banking for instance, are currently protected, the emphasis has been on detection and blocking but going forward we can expect deceptive response to play a far greater role. This frustrates and exhausts the resources of the attacker, making the attacks cost-prohibitive to sustain.

So how should the sector look to embrace AI given the current state of regulatory flux? As with any digital transformation project, there needs to be oversight of how AI will be used within the business, with a working group tasked to develop an AI framework. In addition to NIST, there are a number of security standards that can help here such as ISO 22989, ISO 23053, ISO 23984 and ISO 42001 and the oversight framework set out in DORA (Digital Operational Resilience Act) for third party providers. The framework should encompass the tools the firm has with AI functionality, their possible application in terms of use cases, and the risks associated with these, as well as how it will mitigate any areas of high risk.

Taking a proactive approach makes far more sense than suspending the use of AI which effectively places firms at the mercy of adversaries who will be quick to take advantage of the technology. These are tumultuous times and we can certainly expect AI to rewrite the rulebook when it comes to attack and defence. But firms must get to grips with how they can integrate the technology rather than electing to switch it off and continue as usual.

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Business

Recognising the value of protecting intellectual property early builds strong foundation for innovators

Innovation Manager at InnoScot Health, Fiona Schaefer analyses an essential facet of developing ideas into innovations

Helping the NHS to innovate remains a key priority during this period of recovery and reform. Even within the current cash-strapped climate, there is the opportunity to maximise the first-hand experience of the healthcare workforce and its knowledge of where new ideas are needed most.

Entrepreneurial-minded, creative staff from any discipline or activity are often best placed to recognise areas for improvement – the reason why a significant number of solutions come from, and are best developed with, health and social care staff.

NHS Scotland is a powerful driver of innovation, but to truly harness the opportunities which new ideas offer for development and commercialisation, the knowledge and intellectual property (IP) underpinning them needs to be protected. That vital know-how and other intangible assets – holding appropriate contracts for example – are key from an early stage.

Medical devices can take years to develop and gain regulatory approval, so from the outset of an idea’s development – and before revenue is generated – filing for IP protection and having confidentiality agreements in place are ways to start creating valuable assets. This is especially important when applying for patent protection because that option is only available when ideas have not been discussed or presented to external parties prior to application.

Without taking that critical initial step to protect IP, anyone – without your permission – could copy the idea, so anything of worth should be protected as soon as possible, making for a clear competitive advantage and ownership in the same sense as possessing physical property.

The common theme is that to be successful – and ultimately support the commercialisation of ideas that will improve patient care and outcomes – the idea must be novel, better, quicker, or more efficient than existing options. Furthermore, to turn it into a sound proposition worth investing in, it must also be technically and financially feasible. It isn’t enough to just be new and novel – the best innovations offer tangible benefits to patient outcomes and staff working practices.

Of course, even more so in the current climate of financial constraints, the key question of ‘Who will pay for your new product or service?’ needs to be considered up front as well.

Whilst development of a strong IP portfolio requires investment and dedicated expertise, when done well and at the appropriate time, then it is resource well spent, offering a level of security whilst developing an asset which can be built upon and traded. There are various ways commercialisation can progress and whilst not all efforts will be successful, intellectual property is an asset which can be licensed or sold to others offering a range of opportunities to secure a good return.

In my experience, however, many organisations including the NHS are still missing the opportunity to recognise and protect their knowledge assets and intellectual property early in the innovation pathway. This is partly due to lack of understanding – sometimes one aspect is carefully protected, whilst another is entirely neglected. In other cases, the desire to accelerate to the next stage of product development means such important foundational steps are not given the attention required for long-term success.

Good IP management goes beyond formally protecting the knowledge assets associated with a project, e.g. by patenting or design registration, however. When considered with other intangible assets such as access to datasets, clinical trial results, standard operating procedures, quality management systems, and regulatory approvals, it is the combination which will be key to success.

Early securing of IP protection or recognition of IP rights in a collaboration agreement, demonstrates foresight and business acumen. Later on, it can significantly boost negotiating power with a licensing partner or build investor confidence.

Conversely, omissions in IP protection or suitable contracts can be damaging, potentially derailing years of product development and exposing organisations to legal challenges and other risks. Failing to protect a promising idea can also mean commercial opportunities are missed, thus leading to your IP being undervalued.

Ideas are evaluated by formal NHS Scotland partner InnoScot Health in the same way whether they are big or small, a product, service, or new, innovative approach to a care pathway.

We encourage and enable all 160,000 NHS Scotland staff, regardless of role or location, to come forward with their ideas, giving them the advice and support they need to maximise their potential benefits.

Protecting the IP rights of the health service is one of the cornerstones of InnoScot Health’s service offering. In fact, to date we have protected over 255 NHS Scotland innovations. Recently these have included design registration and trademarks for the SARUS® hood and trademarks for SCRAM®, building and protecting a recognised range of bags with innovative, intuitive layouts. Spin outs such as Aurum Biosciences meanwhile have patents underpinning their novel therapeutics and diagnostics.

We assist in managing this IP to ensure a return on investment for the health service. Any revenue generated from commercialising ideas and innovations from healthcare professionals is shared with the innovators and the health board through our agreements with them and the revenue sharing scheme detailed in health board IP and innovation policies.

Fundamentally, we believe that it is vital to harness the value of expertise and creativity of staff with a well-considered approach to protecting IP and knowledge input to projects from the start.

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Time is running out: NHS and their digital evolution journey

By Nej Gakenyi, CEO and Founder of GRM Digital

Many businesses have embarked on their digital evolution journey, transforming their technology offerings to upgrade their digital services in an effective and user-friendly way. Whilst this might be very successful for smaller and newer businesses, but for large corporations with long-standing legacy infrastructure, what does this mean? Recently the UK government pledged £6bn of new funding for the NHS, and the impact this funding and investment could have if executed properly, could revolutionise the UK public healthcare sector.

The NHS has always been a leader in terms of technology for medical purposes but where it has fallen down is in the streamlining of patient data, information and needs, which can lead to a breakdown in trust and the faith that the healthcare system is not a robust one. Therefore, the primary objective of additional funding must be to implement advanced data and digital technologies, to improve the digital health of the NHS and the overall health of the UK population, as well as revitalise both management efficiency and working practices.

Providing digital care

Digitalisation falls into two categories when it comes to the NHS – digitising traditionally ‘physical’ services like offering remote appointments and keeping electronic paper records, and a greater reliance on more innovative approaches driven by advances in technology. It is common knowledge that electronic services differ in GP practices across the country; and to have a drastically good or bad experience which is solely dependent on a geographical lottery contradicts the very purpose of offering an overarching healthcare provision to society at large.

By streamlining services and investing in proper infrastructure, a level playing field can be created which is vital when it comes to patients accessing both the care they need and their own personal history of appointments, GP interactions, diagnoses and medications. Through this approach, the NHS focus on creating world-leading care, provision of that care and potentially see waiting lists decrease due to the effective diagnosis and management enabled by slick and efficient technology.

This is especially important when looking at personalisedhealth support and developing a system that enables patients to receive care wherever they are and helps them monitor and manage long-term health conditions independently. This, alongside ensuring that technology and data collection supports improvements in both individual and population-level patient care, can only serve to streamline NHS efforts and create positive outcomes for both the patient and workforce.

Revolutionising patient experiences

A robust level of trust is critical to guaranteeing the success of any business or provision. If technology fails, so does the faith the customer or consumer has in the technology being designed to improve outcomes for them. An individual will always have some semblance of responsibility and ownership over their lives, well-being and health. Still, all of these key pillars can only stand strong when there is infrastructure in place to help drive positive results. Whilst there may be risks of excluding some groups of individuals with a digital-first approach, technology solutions can empower people to take control of their healthcare enabling the patient and NHS to work together. Tandem efforts between humans and technology

Technology must work in tandem with a workforce for it to be effective. This means the NHS workforce must be digitally savvy and have patient-centred care at the front and centre of all operations. Alongside any digital transformation the NHS adopts to improve patient outcomes, comes the need to assess current and future capability and capacity challenges, and build a workforce with the right skills to help shape an NHS that is fit for purpose.

This is just the beginning. With more invtesement and funding being allocated for the NHS this is the starting point, but for NHS decision-makers to ensure real benefits for patients, more still needs to be done. Effective digital evolution holds the key. Once the NHS has fully harnessed the poer of new and evolving technologies to change patient experiences throught the UK, with consistent communication and care, this will set the UK apart and will mark the NHS has a diriving example for accessible, digital healthcare.

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