In this paper, we discussed multiple ways how behavior change interventions can backfire. We provided a framework to help facilitate the discussion of this topic, and created tools to aid academics in the study of this realm, and support practitioners to remain mindful of the potential risks.
There are 6 implications I've drawn from this initial analysis:
Authentic engagement - embed authentic engagement and feedback processes all through the campaign development journey
Behaviour change levers audit - identify and review all of the behaviour change levers, not just those where communications can make a difference
Medium, message, messenger - critically analyse the relationship between these for each creative execution
Authentic inclusion - ensure diversity is embedded into your teams and planning processes and that this inclusion is authentic and supportive
The constraints of comms - recognise circumstances where communications are not the most effective behaviour change and/or confidence building lever
Remember that communications don't take place in a vacuum - reflect on how communications can have an impact on the system outside of comms touchpoints
How to conduct user research for systems with confidential or otherwise sensitive data, for example in domains like healthcare or financial services, where it can be problematic to record screens or otherwise share the user's information.
Yet the characteristics of online environments – the deliberate design and the ability to generate enormous quantities of data about how we behave, who we interact with and the choices we make, coupled with the potential for mass experimentation – can also leave consumers open to harm and manipulation. Many of the failures and distortions in online markets are behavioural in nature, from the deep information asymmetries that arise as a result of consumers being inattentive to online privacy notices to the erosion of civility on online platforms. This paper considers how governments, regulators and at least some businesses might seek to harness our deepening understanding of human behaviour to address these failures, and to shape and guide the evolution of digital markets and online environments that really do work for individuals and communities.
To explore advertising and
marketing’s capacity for empathy,
we’ve turned to cutting edge moral
psychology. In this white paper we
are asking people working in the
advertising and marketing industry to
consider the deepest questions about
their identity, ethics and morals.
visualisation of all available AI principles.
No need for new ones, but a need to operationalise & contextualise them across AI life cycle, for all stakeholders involved - data scientist, business execs, procurement & regulators
Consumers, employees, students, and others are often subjected to “sludge”: excessive or unjustified frictions, such as paperwork burdens, that cost time or money; that may make life difficult to navigate; that may be frustrating, stigmatizing, or humiliating; and that might end up depriving people of access to important goods, opportunities, and services. Because of behavioral biases and cognitive scarcity, sludge can have much more harmful effects than private and public institutions anticipate. To protect consumers, investors, employees, and others, firms, universities, and government agencies should regularly conduct Sludge Audits to catalogue the costs of sludge, and to decide when and how to reduce it. Much of human life is unnecessarily sludgy. Sludge often has costs far in excess of benefits, and it can have hurt the most vulnerable members of society.
So what counts as the “right” kind of problem for behavioral science to solve? Put more bluntly: How might our sense about what we should solve, or even what qualifies as a problem worth solving, be biased by how we think about what we can solve?
To ensure these partnerships are beneficial to all involved—companies, employees, customers, and researchers—behavioral scientists need a set of ethical standards for conducting research in companies. To address this need, we created The Behavioral Scientist’s Ethics Checklist. In the checklist, we outline six key principles and questions that behavioral scientists and companies should ask themselves before beginning their research. To illustrate how each principle operates in practice, we provide mini case studies highlighting the challenges other researchers and companies have faced.
In that study, gender and ethnicity information was removed from descriptions of potential job candidates. It was a study designed to interrupt unconscious biases against women and ethnic minorities.
The results were surprising - blind recruitment made things worse for women and members of ethnic minorities. These results illustrate the limits of behavioural economics in action.
How do the photos used by development organisations affect perceptions of international development? How do agencies ensure that images preserve their subjects’ dignity? Has social media created new opportunities for self-representation, or just reinforced the use of outdated visual clichés? These are some of the questions addressed during last week’s #DevPix Twitter chat hosted by the Overseas Development Institute. The topic sparked a lively conversation…