Artificial Intelligence

AI is the latest business renovation tool. LearningTalk works with our customers and selected technology alliance partners to unlock value in your organisation with clever use of AI.

Some key measurables include delivering productivity gains, employee empowerment and improved decision making, to fuelling business model transformations. We understand what it takes to create sustainable value in a responsible and lasting way.

What is AI?

AI , however, comes with a heavy scepticism. With its rapid adoption and increasing complexity, robust AI governance is a must. In the wider customer base and market place there is some distrust as the legal implications of liability are unclear. Uncertainty and disbelief abound and we are at a new frontier in AI adoption, AI business development and importantly AI law.

When it comes to AI and business impact, adopting is believing. Early adopters who have embraced AI are well ahead of those yet to adopt the technology. They see the transformative potential for business.

Early adopters who get a sound understanding of the legal implications, the marketing strategy to safely deploy AI and who prepare their customer-facing and internal staff will enjoy first mover advantage. LearningTalk is here to assist.

At the highest level of description, artificial intelligence is technology that enables computers and machines to simulate human intelligence and problem-solving capabilities.
On its own or combined with other technologies AI can perform tasks that would otherwise require human intelligence or intervention.
Implementing a Responsible AI framework that establishes clear guidelines for data ethics, policy, governance, bias, fairness, compliance and monitoring is a crucial starting point.
As a field of computer science, artificial intelligence encompasses (and is often mentioned together with) machine learning and deep learning. These disciplines involve the development of AI algorithms, modelled after the decision-making processes of the human brain, that can ‘learn’ from available data and make increasingly more accurate classifications or predictions over time.

Artificial intelligence has gone through many cycles of hype, but even to sceptics, the release of ChatGPT seems to mark a turning point. The last time generative AI loomed this large, the breakthroughs were in computer vision, but now the leap forward is in natural language processing (NLP). Today, generative AI can learn and synthesize not just human language but other data types including images, video, software code, and even molecular structures.

Applications for AI are growing every day. But as the hype around the use of AI tools in business takes off, conversations around ai ethics and responsible ai become critically important.

Weak AI—also known as narrow AI or artificial narrow intelligence (ANI)—is AI trained and focused to perform specific tasks. Weak AI drives most of the AI that surrounds us today. “Narrow” might be a more apt descriptor for this type of AI as it is anything but weak: it enables some very robust applications, such as Apple’s Siri, Amazon’s Alexa, IBM watsonx™, and self-driving vehicles.

Strong AI is made up of artificial general intelligence (AGI) and artificial super intelligence (ASI). AGI, or general AI, is a theoretical form of AI where a machine would have an intelligence equal to humans; it would be self-aware with a consciousness that would have the ability to solve problems, learn, and plan for the future. ASI—also known as superintelligence—would surpass the intelligence and ability of the human brain. While strong AI is still entirely theoretical with no practical examples in use today, that doesn’t mean AI researchers aren’t also exploring its development.

If you are not considering AI you should be. Now – talk to us.

AI Rollout

There is a “bouquet” of EU law already in place which will impact on AI . The legal considerations are paramount in deciding on the functionality and the technology platform used. In March 2024 the EU AI Act was ratified by the EU Parliament and is already being rolled out across the EU. Member states may need some transposition of laws to implement the legal regulations in their territories however this is underway and will take some years to become fully effective.

Meanwhile – all the AI major players are rapidly developing their products and hoping that market acceptance of their products will influence the adoption of the EU AI Law.
In parallel, the EU eCommerce directive, the EU Software Directive, the EU Defective Product Liability law may be applied. There is also an EU AI Liability Act in draft form winding its way through the EU legislative process.

Any deployment of AI must take EU legislative provisions, and the requirements of other jurisdictions as they emerge, into account to avoid potential costly legal challenges later.

Implementing a responsible AI framework that establishes clear guidelines for data ethics, policy, governance, bias, fairness, compliance and monitoring is a crucial starting point.
AI has the greatest impact when applied to existing digital environments and datasets. Aligning your digital strategy with your overall organisational objectives is essential for maximising the benefits of AI.

Ask LearningTalk to assist with empowering your organisation.

We know the success of AI adoption hinges on addressing the impact on your workforce from the outset. To position your organisation for success, engage employees in creating and selecting AI tools, work with LearningTalk on AI staff education and training. We’ll advise how to cultivate a culture that embraces human-AI collaboration and data-driven decision-making. LearningTalk promotes a “learn to” approach and encourages and supports employee-led innovation.

Artificial Governance

Some practical implications of AI laws at present.

The recent EU AI Act sets out the core of AI governance. Some fundamental principles are:

Ethical:
AI governance must follow ethical principles, ensuring that AI applications respect human rights and fundamental freedoms.
Transparent:
AI delivered service must be transparent to users and stakeholders, promoting trust in the
technology’s development, deployment, and use.
Accountable:
It is unclear where exactly liability will subsist, however all developers, service providers, deployers and potentially actual AI users may be legally responsible for any harm it causes. AI systems should be auditable. Detailed records will be compulsory. The decision making processes adopted will need to be traced and explained to national regulatory authorities.
Fairness:
AI governance should prevent discrimination and bias in developing and using AI
Risk :
A proper risk assessment and management process will be mandatory to identify and mitigate potential AI risks.
Human Oversight :
Humans intervention and control of AI decision-making will be obligatory to ensure ethical use.