Software Agents for Future Communication Systems

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The transition through AI will last the next 50 years or more. As we move farther into this third era of computing, and as every single industry becomes more deeply entrenched with AI systems, we will need new hybrid-skilled knowledge workers who can operate in jobs that have never needed to exist before. Oncologists trained as robotocists. Biologists trained as electrical engineers.

As AI matures, we will need a responsive workforce, capable of adapting to new processes, systems and tools every few years. The need for these fields will arise faster than our labor departments, schools and universities are acknowledging. We need to address a difficult truth that few are willing to utter aloud: AI will eventually cause a large number of people to be permanently out of work.

AI and advancing technologies will change our response framework and time frames which in turn, changes our sense of time. Where once social interaction happened in places — work, school, church, family environments — social interactions will increasingly happen in continuous, simultaneous time. We must embrace that moral renaissance, or we will face moral conundrums that could bring about human demise.

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My greatest fear is that we adopt the logic of our emerging technologies — instant response, isolation behind screens, endless comparison of self-worth, fake self-presentation — without thinking or responding smartly. John C.

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At stake is nothing less than what sort of society we want to live in and how we experience our humanity. Batya Friedman. As to liberty, there are clear risks. AI affects agency by creating entities with meaningful intellectual capabilities for monitoring, enforcing and even punishing individuals. Future happiness is really unclear. Some will cede their agency to AI in games, work and community, much like the opioid crisis steals agency today. If elements of community happiness are part of AI objective functions, then AI could catalyze an explosion of happiness.

Newer generations of citizens will become more and more dependent on networked AI structures and processes. There are challenges that need to be addressed in terms of critical thinking and heterogeneity. Networked interdependence will, more likely than not, increase our vulnerability to cyberattacks. The question of its value has always been dependent on its application.

For what purpose will AI and other technological advances be used? Everything from gunpowder to internal combustion engines to nuclear fission has been applied in both helpful and destructive ways. The problem is not with AI but with humans. As a species we are aggressive, competitive and lazy. We are also empathic, community minded and sometimes self-sacrificing.

We have many other attributes. These will all be amplified. Given historical precedent, one would have to assume it will be our worst qualities that are augmented. My expectation is that in AI will be in routine use to fight wars and kill people, far more effectively than we can currently kill. As societies we will be less affected by this as we currently are, as we will not be doing the fighting and killing ourselves. Our capacity to modify our behaviour, subject to empathy and an associated ethical framework, will be reduced by the disassociation between our agency and the act of killing.

My other primary concern is to do with surveillance and control. We will exist within an SCS as AI constructs hybrid instances of ourselves that may or may not resemble who we are. But our rights and affordances as individuals will be determined by the SCS.

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This is the Orwellian nightmare realised. Most people — and parts of the world — will be worse off. The public is reduced to a collective of consumers awaiting the next technology. Like technologies before it, AI is agnostic. Its deployment rests in the hands of society. But absent an AI-literate public, the decision of how best to deploy AI will fall to special interests. Will this mean equitable deployment, the amelioration of social injustice and AI in the public service? The fix? We need to develop an AI-literate public, which means focused attention in the educational sector and in public-facing media.

We need to assure diversity in the development of AI technologies. Some responses are lightly edited for style. About Pew Research Center Pew Research Center is a nonpartisan fact tank that informs the public about the issues, attitudes and trends shaping the world. It conducts public opinion polling, demographic research, media content analysis and other empirical social science research. Pew Research Center does not take policy positions. It is a subsidiary of The Pew Charitable Trusts.

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People lack input and do not learn the context about how the tools work. They sacrifice independence, privacy and power over choice; they have no control over these processes. This effect will deepen as automated systems become more prevalent and complex. Data abuse: Data use and surveillance in complex systems is designed for profit or for exercising power Most AI tools are and will be in the hands of companies striving for profits or governments striving for power.

Values and ethics are often not baked into the digital systems making people's decisions for them. These systems are globally networked and not easy to regulate or rein in. Job loss: The AI takeover of jobs will widen economic divides, leading to social upheaval The efficiencies and other economic advantages of code-based machine intelligence will continue to disrupt all aspects of human work.

While some expect new jobs will emerge, others worry about massive job losses, widening economic divides and social upheavals, including populist uprisings. Mayhem: Autonomous weapons, cybercrime and weaponized information Some predict further erosion of traditional sociopolitical structures and the possibility of great loss of lives due to accelerated growth of autonomous military applications and the use of weaponized information, lies and propaganda to dangerously destabilize human groups.

Some also fear cybercriminals' reach into economic systems. Ways must be found for people around the world to come to common understandings and agreements - to join forces to facilitate the innovation of widely accepted approaches aimed at tackling wicked problems and maintaining control over complex human-digital networks. Some new level of regulatory and certification process will be necessary.

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