Page 27 - BOSS Today Issue 61

BOSS Today #61 DOWN TO BUSINESS BOSS Today #61

EMPLOYEE USE OF AI: AI, aiming to balance innovation with Pros and Cons of AI in the Workplace

protection against risks. The proposed
Cons
Pros
Data Protection and Digital Information
Bill looks to refine UK data protection
A PRACTICAL GUIDE laws, ensuring that businesses can Automates repetitive tasks, Over-reliance can reduce critical
thinking
boosting efficiency
leverage AI responsibly while also
maintaining privacy safeguards. Data
Saves costs on manual processes
AI-generated content may be
Protection Impact Assessments remain a
biased or generic
requirement for high-risk AI applications.
FOR BUSINESSES opted for a decentralised regulatory datasets quickly information
Unlike the EU’s AI Act, the UK has
Potential risk of sharing sensitive
Analyses and summarises large
model, relying on existing regulators,
Enhances productivity and
AI recommendations can be
such as the Information Commissioner’s
customer service
inaccurate
Office, to oversee AI governance within
specific sectors, rather than imposing a
ensure compliance with UK regulations.
single AI regulatory body.
touch with HR Business Partners
Employees should use AI as a tool, not as For more information and support get in
Making AI Work for Your Business a crutch, and always verify AI-generated click here.
AI can be a powerful asset for companies, content.
but only when it is used responsibly. By fostering a culture of awareness
Employers should establish clear and accountability, businesses can
I is transforming workplaces and 2. How AI Uses Data guidelines on how they expect AI to be harness the benefits of AI while avoiding
AUK companies are taking notice. AI systems process data by learning from used by employees, provide training, and the pitfalls.
According to the CIPD, 41% of employers past interactions. However, employees
see generative AI as an opportunity. must be mindful of:
However, with new technology comes
new responsibilities. Employees must n Whether the AI retains or stores
understand what they can and cannot inputted data
share, how AI handles data, and which AI n If AI providers use data to train
tools are safe to use. This guide outlines their models
best practices, UK GDPR compliance, and n Whether data is transferred outside
some potential risks. the UK, where there may be different
data protection laws
Using AI at Work: Key Considerations
1. UK GDPR Compliance 3. AI Bias and Ethical Concerns
AI can enhance productivity, but it needs AI models are trained on existing data,
to be used responsibly. The UK GDPR sets meaning they can inherit biases. This
strict rules for handling personal data. can impact hiring, decision-making, and
Employees need to be cautious about automated processes. Employees should
what they share with AI tools. assess AI outputs for fairness, accuracy,
and potential bias.
n What You Can Share: Non-sensitive
business data, general process- 4. Legal and Ethical Implications
related questions, publicly available Employers must ensure AI is used
information. ethically and in compliance with
n What You Cannot Share: Personally regulations such as the Equality
identifiable information, confidential Act 2010 to prevent discrimination.
business data, customer records, Transparency in AI decision-making is
employee data or anything that could crucial. Employees should understand
breach data protection laws. the reasoning behind AI-generated
n Data Usage Risks: Many AI platforms recommendations and verify their
store user inputs, which could lead to accuracy before acting on them.
data leaks or unauthorised access.
What’s the UK government’s
Always check the provider’s data policies stance on AI and data protection?
before using AI tools for work-related The UK government has been taking a
tasks. sector-based regulatory approach to

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