Understanding your 'why' for Artificial Intelligence
This guidance document helps businesses understand their purpose, principles, and objectives when adopting or developing artificial intelligence systems. It outlines practical steps for getting started, such as identifying inefficiencies, evaluating data assets, conducting cost-benefit analyses, and experimenting safely. Additionally, it encourages cross-functional teams to align AI adoption with existing policies on information security, data management, legal compliance, and privacy.
Summary and content fields are drawn from the document text and are pending editorial review.
Who issued it
Who it governs
Business leaders and organizations looking for guidance on how to responsibly plan and incorporate artificial intelligence into their operations.
What the document contains
The document covers strategic considerations for businesses beginning to use artificial intelligence, detailing practical steps to define purpose, evaluate internal processes and data assets, and align AI use with legal, privacy, and security standards.
The document does not provide binding regulations, specific enforcement mechanisms, technical definitions, or industry-specific mandates.
- Organizations should establish a clear purpose, set of principles, and objectives before using, deploying, or developing AI systems.
- The intended use of AI must be lawful and ensure it does not infringe on human or commercial rights, including privacy.
- Businesses can identify AI opportunities by locating operational inefficiencies, reviewing available data assets, and conducting cost-benefit analyses.
- Safe experimentation can be achieved through AI sandboxes that isolate testing from real-world operations.
- Cross-functional governance groups should define strategic priorities, values, and common terminology while ensuring AI aligns with existing security and legal compliance policies.
· Getting started · Strategic conversations
How it scores
Each score is backed by a quote verified against the document text. Editorial review has not yet confirmed them.
Accountability
0/5Clear responsibility for AI outcomes
Understanding your 'why' for Artificial Intelligence
screening score · 2026-10-24
Fairness
0/5Non-discrimination and equitable treatment
Understanding your 'why' for Artificial Intelligence
screening score · 2026-10-24
Human Dignity
0/5Respect for the inherent worth of persons
Understanding your 'why' for Artificial Intelligence
screening score · 2026-10-24
Human Oversight
0/5Humans remain in control of consequential decisions
Understanding your 'why' for Artificial Intelligence
screening score · 2026-10-24
Privacy
1/5Protection of personal data and private life
ensure that its intention is lawful, including that it does not impede on any human or commercial rights, including privacy.
Understanding your 'why' for Artificial Intelligence
screening score · 2026-10-24
Transparency
0/5Openness about how AI systems work and are used
Understanding your 'why' for Artificial Intelligence
screening score · 2026-10-24
Enforcement
0/5Consequences and compliance mechanisms with real force
Understanding your 'why' for Artificial Intelligence
screening score · 2026-10-24
Impact Assessment
1/5Required assessment of an AI system's risks/impacts before or during use
conduct a cost-benefit analysis (including any intangible or indirect costs the organisation may be interested in, for example potential environmental impact)
Getting started
screening score · 2026-10-24