SINGAPORE – The emergence of DeepSeek, a cutting-edge artificial intelligence platform, has garnered significant attention within Singapore’s business community.

While organisations are eager to harness its potential, they remain vigilant about associated challenges, particularly concerning data security and AI biases.

DeepSeek’s potential in advancing businesses

DeepSeek offers advanced capabilities that can revolutionise various business operations.

In fact, firms are looking to use DeepSeek because of its success in “performing well across benchmarks and offering a significantly lower-cost alternative to competitors,” said Hanno Stegmann, managing director and partner of BCG’s AI team, in a report by The Straits Times.

DeepSeek’s sophisticated algorithms enable companies to analyse vast datasets, uncovering patterns and insights that were previously elusive. This can lead to enhanced decision-making, improved customer experiences, and streamlined processes.

For instance, in the ecommerce sector, AI platforms like DeepSeek can personalise shopping experiences, optimise supply chains, and predict market trends.

However, as highlighted by industry leaders, challenges such as cost implications and privacy concerns persist.

Data security, AI bias concerns around DeepSeek

A primary apprehension among businesses is the safeguarding of sensitive information.

Integrating AI systems necessitates access to extensive data, raising questions about how this data is stored, processed, and protected.

To date, the governments of the US, Taiwan and Australia have banned the use of DeepSeek on official devices.

The risk of data breaches or unauthorised access can have severe repercussions, including financial losses and reputational damage. Therefore, companies are urged to implement robust cybersecurity measures and ensure compliance with data protection regulations when deploying AI solutions.

Another critical issue is the potential for AI biases. If an AI system is trained on unrepresentative or skewed data, it may produce biased outcomes, leading to unfair or discriminatory practices.

For example, in recruitment processes, an AI tool might inadvertently favour certain demographics over others if its training data lacks diversity. To mitigate this, it's essential to use comprehensive and balanced datasets and to regularly audit AI systems for biased behaviour.

Collaboration for responsible AI use in Singapore

Recognising these challenges, major technology firms, including Google and Microsoft, have partnered with Singapore’s Infocomm Media Development Authority (IMDA) to form the AI Verify Foundation.

This alliance aims to tackle pressing AI issues such as bias, copyright concerns, and the generation of false information. The foundation will develop standards and best practices, providing a neutral platform for collaboration on AI governance.

Members will contribute to a software toolkit designed to assess datasets and AI code for bias and transparency, ensuring that AI models are accountable and reliable.

Leaders must be proactive in assessing AI models

The integration of AI platforms like DeepSeek presents both opportunities and responsibilities for business and HR leaders.

On one hand, AI can drive efficiency, innovation, and competitive advantage. On the other, leaders must be proactive in addressing the ethical and practical challenges associated with AI deployment.

Test AI models constantly

Before adopting AI solutions, it’s crucial to conduct thorough assessments to determine their alignment with organisational goals. This includes evaluating the potential return on investment, understanding the specific needs of the business, and ensuring that the AI tools are fit for purpose.

Upskill employees across the board

As AI systems become integral to business operations, there will be a growing need for employees to develop new skills.

HR leaders should prioritise training programmes that equip staff with the necessary competencies to work alongside AI tools effectively. This not only enhances productivity but also fosters a culture of continuous learning and adaptability.

Maintain ethical standards

This involves ensuring that AI applications do not perpetuate biases or infringe on individual privacy rights. Establishing clear guidelines and oversight mechanisms can help in upholding these standards.

Adopting AI with caution

The collaboration between tech giants and regulatory bodies signifies a collective effort to promote responsible AI use.

As AI technology continues to evolve, it is anticipated that more frameworks and tools will emerge to assist businesses in navigating the complexities of AI implementation.

Staying informed about these developments will be crucial for leaders aiming to leverage AI effectively while mitigating associated risks.

While platforms like DeepSeek offer transformative potential for businesses, it is imperative to approach their adoption thoughtfully.

Addressing data security concerns, mitigating biases, and fostering industry collaboration can help business and HR leaders harness the benefits of AI while upholding ethical and operational standards.