Positive computing is a technological design perspective that embraces psychological well-being and ethical practice, aiming at building a digital environment to support happier and healthier users. Positive computing develops approaches that integrate insights from psychology, education, neuroscience, and HCI with technological development.
The purpose of positive computing is to bridge the technology and mental health worlds.
Indeed, there are computer and mental health workshops that are aimed to bring people from both communities together.
 Everyone who uses technology is impacted by the way the tool is designed and even if most technologies may have small effects, they still apply to huge populations.
 Technology researchers typically focus primarily on technical aspects, paying less attention to the ethical impact and ethical considerations of their products.
However, researchers from other fields such as psychology and philosophy studied these matters extensively and provided a wealth of methodologies to assess users' well-being, with thousands of quality-of-life assessment methods and validating studies.
 Positive computing draws many ideas from positive psychology, a domain of psychology that focuses on societal well-being and improving quality of life.
 The recognition of the impact of technology and inventions on people's lives has moved technology professionals to rethink the technology tools we use and seek a realignment of companies' goals to the social good. Exemplary of this disposition is the famous Google's motto, "don't be evil."
 Technologies can be loosely classified into four groups according to their influence on the psychological aspects:
 In Calvo's and Peter's seminal book on positive computing, they list the following as positive aspects to which we should aim when designing technologies: positive emotions, motivation, engagement, flow, self-awareness, self-compassion, mindfulness, empathy, compassion, and altruism.  
An encompassing term for general human welfare and happiness is eudaimonia which is extensively studied in positive psychology and which is inquired along different dimensions such as self-discovery, the sense of purpose and meaning in life, the involvement in activities, the investment in the pursuit of excellence, the self-perception of one's own potentials.
 There are three basic psychological needs according to  Self-determination theory (SDT): autonomy, competence, and relatedness, which can be briefly described as the feeling of psychological liberty and self-motivation, the feeling of having control and mastery, and the feeling of connection to others.
 The three previously mentioned basic psychological needs are measurable and well-defined characteristics that make them excellent as design targets.
 To support autonomy, the design process needs to provide control over multiple options, provide meaningful rationales behind choices, enable the customization of the experience, and avoid controlling language.
 Competence is also well-studied for game design, and the three main design factors supporting it are the appropriateness of the level of presented challenges, the presence of positive feedback, and the opportunities to learn and master the tasks at hand.
 Relatedness-supportive environments need to be designed to provide meaningful and responsive interactions with others, respect human emotions, avoid disrupting social relationships, and provide opportunities for social connections.
 Responsible design, not to be confused with responsive design, comes from the integration of ethical analysis with well-being–supportive design into engineering practice.
In particular, it features the double diamond design process model adding a post-launch evaluation phase.
The responsible design process consists then of five stages:
 Intelligence explosion is a possible outcome of future computer science and computer engineering research, and I. J. Good described the first superintelligent machine as "the last invention that man need ever make," because of the vast influence it would have on our species.
Indeed, Nick Bostrom, in his book Superintelligence: Paths, Dangers, Strategies, proposes the common good principle according to which superintelligence should be developed only for the benefit of all and based on widely shared ethical ideals.
 Malo Bourgon, COO of MIRI, stated that the AI community should consider best practices from the computer security community when testing their systems for safety and security before they are released for wide adoption.
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