What is AI?
In its essence, AI pertains to the capability of a machine or computer system to carry out tasks that would normally necessitate human intelligence. This entails programming systems to analyse data, acquire knowledge from experiences, and make intelligent decisions with human guidance. While virtual assistants like Siri or Alexa are the most recognisable form of AI, there exist numerous versions of this technology.
AI holds the promise of transforming diverse industries by empowering machines to tackle intricate problems and exhibit intuitive thinking, surpassing mere automation. This encompasses a wide array of subfields and technologies, including machine learning and natural language processing.
Artificial intelligence possesses an extraordinary capacity to swiftly process, analyse, and act upon massive volumes of data. As with any potent technology, it is essential to implement AI responsibly in order to maximise its potential while minimising adverse effects.
For instance, if AI is trained using unchecked data, it can perpetuate harmful biases related to race, religion, upbringing, or other human attributes. This could prove highly detrimental if integrated into AI systems used in fields such as healthcare, recruitment, law, or other human-focused applications.
Privacy stands as another significant ethical concern surrounding AI. With AI systems gathering extensive data from global databases, it is imperative to ensure the protection and responsible use of personal information. For instance, facial recognition technology, commonly employed in security systems or social media platforms, raises issues regarding consent and potential misuse.
Safeguarding the responsible advancement of AI is pivotal for its secure, dependable, and ethical progression.
What is an AI management system?
An AI management system serves as the central control mechanism governing an organisation's AI initiatives. Its primary function is to establish regulations and procedures to ensure the responsible and efficient utilisation of AI. This system aids in overseeing various aspects, ranging from risk assessment to the ethical deployment of AI.
Consider it as a navigational tool for judiciously leveraging AI as the technology progresses. An AI management framework delineates a methodical approach for handling the risks and opportunities linked to AI, encompassing crucial elements like transparency, explain ability, and autonomy. This provides organisations with clear guidance on aligning AI usage with evolving regulations, such as the EU AI Act.
Through conscientious management and supervision, AI can realize its potential as a profoundly beneficial technological advancement.
ISO’s is already on a mission is to establish globally recognised standards across various industries, and AI is no exception.
International Standards for artificial intelligence provide a framework to guide the responsible and ethical use of AI technologies. These standards cover areas such as privacy, bias, transparency and accountability. By adhering to these standards, organizations can work to ensure that their AI systems are fair, transparent, and uphold ethical principles.
One example of International Standard in the AI field is ISO/IEC 23984, which focuses on the management of risk in AI systems. This standard aims to ensure that AI algorithms and models are understandable and can be audited for bias and fairness, thereby building trust and confidence in AI systems.
ISO 42001 AI management systems
ISO 23894 AI Guidance on risk management
ISO 23053 Framework for AI System using ML
ISO standards also address the interoperability and compatibility of AI systems, ensuring that AI technologies can work seamlessly together and exchange data effectively. This is especially important as AI becomes more integrated into various industries and applications.
As the development and adoption of AI continues to accelerate, developing rigorous standards will be key to ensuring artificial intelligence becomes a technology for good.
London, Birmingham, Manchester, sheffield, Cardiff, Leicester, Newcastle, Brighton, Aberdeen, Northampton, Swindon, Dudley, York, Stockton, Bourhemouth, Norwich,Peterborough, Mansfield, Telford, Ipswich, Huddersfield, Dundee, Doncaster, Chelmsford, Slough, Burnley, Hastings, London, Gloucester, Worcester, Exeter, Scunthorpe, Guildford, Nottingham, Liverpool, Bath, Stoke, Hull, Plymouth, Glasgow, Wolverhampton, Southampton, Milton-Bradford-Luton, Slough, Preston, Edinburgh, Southend on sea, Leeds, , QMS. Cambridge, Slough, Blackburn Burnley, London,Gloucester, Worcester, Exeter, Scunthorpe, Guildford, Nottingham and Derby, Warrington to Liverpool, Bristol and Bath,
Lancashire, Cumbria, Merseyside, Cheshire, North Yorkshire,South Yorkshire, Yorkshire East Riding, Avon, Bedfordshire, West Birkshire, City of Bristol , Buckinhamshire, Cambridgshire, Redcar & Cleveland, Cornwall, Derbyshire, Devon, Dorset, Durham, Sussex, Essex, North Hamptonshire, Gloucestershire, Hampshire, Hereford and Worcester, Herefordshire, Huntingdon and Peterborough, Huntingdonshire, Leicestershire, Lincolnshire, Middlesex, Norfolk, Northumberland, Nottinghamshire, Oxfordshire, Rutland, Shropshire, Somerset, South Humberside, Staffordshire, Suffolk, Surrey, North Tyne and Wear, SouthTyne and Wear, Warwickshire, South lakeland district, Wiltshire, Worcestershire, Blaenau Gwent, Bridgend , Carmarthenshire, Caerphilly, Ceredigion, Conwy, Denbighshire County, Flintshire, Merthyr Tydfil, Monmouthshire , Neath Port Talbot, Newport City, Pembrokeshire, Powys, Rhondda Cynon Taf, Torfaen, Vale of Glamorgan, Aberdeenshire, Angus, Argyll and Bute, Clackmannanshire, Dumfries and Galloway, East Ayrshire, East Dunbartonshire, East Lothian, East Renfrewshire, Falkirk, Fife, Highland, Inverclyde, Midlothian, Moray, Comhairle nan Eilean Siar, North Ayrshire, North Lanarkshire, Perth & Kinross, Renfrewshire, South Ayrshire, South Lanarkshire
Stirling, West Dunbartonshire, West Lothian
