Data is an asset and a liability – coupled with regulation, data ethics plays an increasingly important role in staying on the right side of the line
Data is one of the most important assets for any organisation. It informs and thus allows organisations to evolve, innovate, grow and even save lives. But as well as being an asset, data can be a liability. Used inappropriately or in a non-compliant way, trust can very quickly be eroded, resulting in reputational damage and financial loss. Regulation only goes so far in keeping the balance right. Data ethics is the other key player.
In the digital economy, companies know more about their customers than ever before. Manufacturers, retailers and platform companies are already unlocking the value of data by configuring quicker, easier, more personalized experiences to win, retain and build trust with customers. Yet this value will not endure if companies fail to understand what consumers think about their data, how it is used and who they should trust to protect it.
Data ethics is increasingly being part of this conversation as the use of Artificial Intelligence (AI) and Machine Learning (ML) becomes increasingly widespread, if largely invisible, part of our lives.
AI and ML are rapidly taking businesses and customers into new and unfamiliar territory. As individuals, we tend to react strongly, and emotionally, about how our data is used. But how we react can also vary hugely depending on our age, nationality and personal views. What one person considers ‘cool’, another may view as distinctly ‘creepy’.
To understand the ethical questions that can arise from the analysis of data, we only have to consider a hypothetical scenario from the life sciences sector. The pharmaceutical and healthcare industries are already shifting their business models towards more personalised, data driven and technologically enabled patient outcomes. The widespread adoption of personal fitness tracking devices raises some potential opportunities for innovation. But different people are likely to feel very differently about possible developments such as:
The impossibility of identifying a single agreed view of how data, particularly personal data, should be used from an ethical stance presents further challenges to organisations. How do you maintain trust and still innovate?
It’s increasingly apparent that a clear stance on data ethics needs to form an integral part of every organisation’s risk appetite. That will require close cooperation between two very different groups – those charged with extracting the greatest value from data, and those responsible with ensuring that it’s not only used effectively but ethically too. Resolving these potential tensions and ensuring a consistent, organisation-wide approach to data ethics will be crucial to success.
In short, regulation is far from being the only future restriction on companies’ use of data – even the Department for Culture, Media and Sport’s recent consultation on the Centre for Data Ethics and Innovation shows that the ‘future proof’ GDPR will not be the last word on the subject. In the long term, getting data ethics right will be just as important as rules and enforcement – and could pose more challenging dilemmas for those hoping to derive sustainable value from data.
To discuss the topic further, please contact:
Mark Thompson - Global Privacy Lead
Francesca Bell - Senior Manager, Data Privacy
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